Mock Version: 3.5 Mock Version: 3.5 Mock Version: 3.5 ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'], chrootPath='/var/lib/mock/dist-an23-epao-build-297508-65831/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=timeout=86400uid=990gid=135user='mockbuild'nspawn_args=[]unshare_net=TrueprintOutput=False) Executing command: ['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'} and shell False Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1693267200 Wrote: /builddir/build/SRPMS/pytorch-2.0.1-3.an23.src.rpm Child return code was: 0 ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bb --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'], chrootPath='/var/lib/mock/dist-an23-epao-build-297508-65831/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=timeout=86400uid=990gid=135user='mockbuild'nspawn_args=[]unshare_net=TrueprintOutput=False) Executing command: ['bash', '--login', '-c', '/usr/bin/rpmbuild -bb --noclean --target x86_64 --nodeps /builddir/build/SPECS/pytorch.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'C.UTF-8'} and shell False Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1693267200 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.uFBOoi + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf pytorch-v2.0.1 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/pytorch-v2.0.1.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd pytorch-v2.0.1 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.vJUb7S + umask 022 + cd /builddir/build/BUILD + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' + export CFLAGS + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' + export CXXFLAGS + FFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -I/usr/lib64/gfortran/modules' + export FFLAGS + FCFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -I/usr/lib64/gfortran/modules' + export FCFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,--build-id=sha1 ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd pytorch-v2.0.1 + export BUILD_TEST=False + BUILD_TEST=False + export PYTORCH_BUILD_VERSION=2.0.1 + PYTORCH_BUILD_VERSION=2.0.1 + export PYTORCH_BUILD_NUMBER=1 + PYTORCH_BUILD_NUMBER=1 + export CUDAARCHS=all + CUDAARCHS=all + export CMAKE_CUDA_COMPILER=/usr/local/cuda-12.1/bin/nvcc + CMAKE_CUDA_COMPILER=/usr/local/cuda-12.1/bin/nvcc + export 'TORCH_CUDA_ARCH_LIST=6.0;6.1;7.0;7.5;8.0;8.6' + TORCH_CUDA_ARCH_LIST='6.0;6.1;7.0;7.5;8.0;8.6' + export 'CFLAGS=-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + export 'CXXFLAGS=-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + python3 setup.py build -- The CXX compiler identification is GNU 12.2.1 -- The C compiler identification is GNU 12.2.1 -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- /usr/bin/g++ /builddir/build/BUILD/pytorch-v2.0.1/torch/abi-check.cpp -o /builddir/build/BUILD/pytorch-v2.0.1/build/abi-check -- Determined _GLIBCXX_USE_CXX11_ABI=1 -- Not forcing any particular BLAS to be found -- Could not find ccache. Consider installing ccache to speed up compilation. -- Performing Test COMPILER_WORKS -- Performing Test COMPILER_WORKS - Success -- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING -- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING - Failed -- Turning off deprecation warning due to glog. -- Performing Test C_HAS_AVX_1 -- Performing Test C_HAS_AVX_1 - Failed -- Performing Test C_HAS_AVX_2 -- Performing Test C_HAS_AVX_2 - Success -- Performing Test C_HAS_AVX2_1 -- Performing Test C_HAS_AVX2_1 - Failed -- Performing Test C_HAS_AVX2_2 -- Performing Test C_HAS_AVX2_2 - Success -- Performing Test C_HAS_AVX512_1 -- Performing Test C_HAS_AVX512_1 - Failed -- Performing Test C_HAS_AVX512_2 -- Performing Test C_HAS_AVX512_2 - Success -- Performing Test CXX_HAS_AVX_1 -- Performing Test CXX_HAS_AVX_1 - Failed -- Performing Test CXX_HAS_AVX_2 -- Performing Test CXX_HAS_AVX_2 - Success -- Performing Test CXX_HAS_AVX2_1 -- Performing Test CXX_HAS_AVX2_1 - Failed -- Performing Test CXX_HAS_AVX2_2 -- Performing Test CXX_HAS_AVX2_2 - Success -- Performing Test CXX_HAS_AVX512_1 -- Performing Test CXX_HAS_AVX512_1 - Failed -- Performing Test CXX_HAS_AVX512_2 -- Performing Test CXX_HAS_AVX512_2 - Success -- Current compiler supports avx2 extension. Will build perfkernels. -- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS -- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX512_EXTENSIONS - Success -- Current compiler supports avx512f extension. Will build fbgemm. -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_RDYNAMIC -- Performing Test COMPILER_SUPPORTS_RDYNAMIC - Success -- Found CUDA: /usr/local/cuda (found version "12.1") -- The CUDA compiler identification is NVIDIA 12.1.105 -- Detecting CUDA compiler ABI info -- Detecting CUDA compiler ABI info - done -- Check for working CUDA compiler: /usr/local/cuda-12.1/bin/nvcc - skipped -- Detecting CUDA compile features -- Detecting CUDA compile features - done -- Caffe2: CUDA detected: 12.1 -- Caffe2: CUDA nvcc is: /usr/local/cuda-12.1/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda -- Caffe2: Header version is: 12.1 -- /usr/local/cuda/lib64/libnvrtc.so shorthash is b51b459d -- Found CUDNN: /usr/lib64/libcudnn.so CMake Warning at cmake/public/utils.cmake:385 (message): In the future we will require one to explicitly pass TORCH_CUDA_ARCH_LIST to cmake instead of implicitly setting it as an env variable. This will become a FATAL_ERROR in future version of pytorch. Call Stack (most recent call first): cmake/public/cuda.cmake:362 (torch_cuda_get_nvcc_gencode_flag) cmake/Dependencies.cmake:43 (include) CMakeLists.txt:717 (include) -- Added CUDA NVCC flags for: -gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 -- Building using own protobuf under third_party per request. -- Use custom protobuf build. -- -- 3.13.0.0 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS - Success -- Caffe2 protobuf include directory: $$ -- Trying to find preferred BLAS backend of choice: MKL -- MKL_THREADING = OMP -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of void* -- Check size of void* - done -- MKL_THREADING = OMP CMake Warning at cmake/Dependencies.cmake:226 (message): MKL could not be found. Defaulting to Eigen Call Stack (most recent call first): CMakeLists.txt:717 (include) CMake Warning at cmake/Dependencies.cmake:263 (message): Preferred BLAS (MKL) cannot be found, now searching for a general BLAS library Call Stack (most recent call first): CMakeLists.txt:717 (include) -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Looking for sgemm_ -- Looking for sgemm_ - not found -- Cannot find a library with BLAS API. Not using BLAS. -- Using pocketfft in directory: /builddir/build/BUILD/pytorch-v2.0.1/third_party/pocketfft/ -- The ASM compiler identification is GNU -- Found assembler: /usr/bin/gcc -- Brace yourself, we are building NNPACK -- Performing Test NNPACK_ARCH_IS_X86_32 -- Performing Test NNPACK_ARCH_IS_X86_32 - Failed -- Found PythonInterp: /usr/bin/python3 (found version "3.10.12") -- NNPACK backend is x86-64 -- Performing Test COMPILER_SUPPORTS_AVX512 -- Performing Test COMPILER_SUPPORTS_AVX512 - Success CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/fbgemm/CMakeLists.txt:85 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_C: -fopenmp (found version "4.5") CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/fbgemm/CMakeLists.txt:85 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") CMake Warning at third_party/fbgemm/CMakeLists.txt:87 (message): OpenMP found! OpenMP_C_INCLUDE_DIRS = CMake Warning at third_party/fbgemm/CMakeLists.txt:186 (message): ========== CMake Warning at third_party/fbgemm/CMakeLists.txt:187 (message): CMAKE_BUILD_TYPE = Release CMake Warning at third_party/fbgemm/CMakeLists.txt:188 (message): CMAKE_CXX_FLAGS_DEBUG is -g CMake Warning at third_party/fbgemm/CMakeLists.txt:189 (message): CMAKE_CXX_FLAGS_RELEASE is -O3 -DNDEBUG CMake Warning at third_party/fbgemm/CMakeLists.txt:190 (message): ========== -- Performing Test __CxxFlag__fno_threadsafe_statics -- Performing Test __CxxFlag__fno_threadsafe_statics - Success -- Performing Test __CxxFlag__fno_semantic_interposition -- Performing Test __CxxFlag__fno_semantic_interposition - Success -- Performing Test __CxxFlag__fmerge_all_constants -- Performing Test __CxxFlag__fmerge_all_constants - Success -- Performing Test __CxxFlag__fno_enforce_eh_specs -- Performing Test __CxxFlag__fno_enforce_eh_specs - Success ** AsmJit Summary ** ASMJIT_DIR=/builddir/build/BUILD/pytorch-v2.0.1/third_party/fbgemm/third_party/asmjit ASMJIT_TEST=FALSE ASMJIT_TARGET_TYPE=STATIC ASMJIT_DEPS=pthread;rt ASMJIT_LIBS=asmjit;pthread;rt ASMJIT_CFLAGS=-DASMJIT_STATIC ASMJIT_PRIVATE_CFLAGS=-Wall;-Wextra;-Wconversion;-fno-math-errno;-fno-threadsafe-statics;-fno-semantic-interposition;-DASMJIT_STATIC ASMJIT_PRIVATE_CFLAGS_DBG= ASMJIT_PRIVATE_CFLAGS_REL=-O2;-fmerge-all-constants;-fno-enforce-eh-specs -- Found Numa: /usr/include -- Found Numa (include: /usr/include, library: /usr/lib64/libnuma.so) -- Using third party subdirectory Eigen. -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.10.12", minimum required is "3.0") -- Found PythonLibs: /usr/lib64/libpython3.10.so.1.0 (found suitable version "3.10.12", minimum required is "3.0") -- Using third_party/pybind11. -- pybind11 include dirs: /builddir/build/BUILD/pytorch-v2.0.1/cmake/../third_party/pybind11/include -- Checking for module 'mpi-c' -- Package 'mpi-c', required by 'virtual:world', not found -- Could NOT find MPI_C (missing: MPI_C_LIB_NAMES MPI_C_HEADER_DIR MPI_C_WORKS) -- Checking for module 'mpi-cxx' -- Package 'mpi-cxx', required by 'virtual:world', not found -- Could NOT find MPI_CXX (missing: MPI_CXX_LIB_NAMES MPI_CXX_HEADER_DIR MPI_CXX_WORKS) -- Could NOT find MPI (missing: MPI_C_FOUND MPI_CXX_FOUND) CMake Warning at cmake/Dependencies.cmake:1179 (message): Not compiling with MPI. Suppress this warning with -DUSE_MPI=OFF Call Stack (most recent call first): CMakeLists.txt:717 (include) -- Found OpenMP_C: -fopenmp -- Found OpenMP_CXX: -fopenmp -- Found OpenMP: TRUE -- Adding OpenMP CXX_FLAGS: -fopenmp -- Will link against OpenMP libraries: /usr/lib/gcc/x86_64-anolis-linux/12/libgomp.so;/usr/lib64/libpthread.a -- Disabling kernel asserts for ROCm CMake Warning at cmake/External/nccl.cmake:69 (message): Enabling NCCL library slimming Call Stack (most recent call first): cmake/Dependencies.cmake:1357 (include) CMakeLists.txt:717 (include) -- Found CUB: /usr/local/cuda/include -- Converting CMAKE_CUDA_FLAGS to CUDA_NVCC_FLAGS: CUDA_NVCC_FLAGS = -Xfatbin;-compress-all;-DONNX_NAMESPACE=onnx_torch;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-Xcudafe;--diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=implicit_return_from_non_void_function,--diag_suppress=unsigned_compare_with_zero,--diag_suppress=declared_but_not_referenced,--diag_suppress=bad_friend_decl;--expt-relaxed-constexpr;--expt-extended-lambda CUDA_NVCC_FLAGS_DEBUG = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_RELEASE = -O3;-DNDEBUG CUDA_NVCC_FLAGS_RELWITHDEBINFO = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_MINSIZEREL = -O1;-DNDEBUG -- Performing Test UV_LINT_W4 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test UV_F_STRICT_ALIASING - Success -- summary of build options: Install prefix: /builddir/build/BUILD/pytorch-v2.0.1/torch Target system: Linux Compiler: C compiler: /usr/bin/gcc CFLAGS: -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -- Found uv: 1.38.1 (found version "1.38.1") -- Converting CMAKE_CUDA_FLAGS to CUDA_NVCC_FLAGS: CUDA_NVCC_FLAGS = -Xfatbin;-compress-all;-DONNX_NAMESPACE=onnx_torch;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-Xcudafe;--diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=implicit_return_from_non_void_function,--diag_suppress=unsigned_compare_with_zero,--diag_suppress=declared_but_not_referenced,--diag_suppress=bad_friend_decl;--expt-relaxed-constexpr;--expt-extended-lambda CUDA_NVCC_FLAGS_DEBUG = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_RELEASE = -O3;-DNDEBUG CUDA_NVCC_FLAGS_RELWITHDEBINFO = -g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_MINSIZEREL = -O1;-DNDEBUG CMake Warning (dev) at third_party/gloo/CMakeLists.txt:21 (option): Policy CMP0077 is not set: option() honors normal variables. Run "cmake --help-policy CMP0077" for policy details. Use the cmake_policy command to set the policy and suppress this warning. For compatibility with older versions of CMake, option is clearing the normal variable 'BUILD_BENCHMARK'. This warning is for project developers. Use -Wno-dev to suppress it. -- Gloo build as SHARED library -- Found CUDA: /usr/local/cuda (found suitable version "12.1", minimum required is "7.0") -- CUDA detected: 12.1 CMake Warning at cmake/Dependencies.cmake:1500 (message): Metal is only used in ios builds. Call Stack (most recent call first): CMakeLists.txt:717 (include) -- Found PythonInterp: /usr/bin/python3 (found version "3.10.12") Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto -- -- ******** Summary ******** -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler version : 12.2.1 -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;__STDC_FORMAT_MACROS -- CMAKE_PREFIX_PATH : /usr/lib/python3.10/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- CMAKE_MODULE_PATH : /builddir/build/BUILD/pytorch-v2.0.1/cmake/Modules;/builddir/build/BUILD/pytorch-v2.0.1/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.13.1rc2 -- ONNX NAMESPACE : onnx_torch -- ONNX_USE_LITE_PROTO : OFF -- USE_PROTOBUF_SHARED_LIBS : OFF -- Protobuf_USE_STATIC_LIBS : ON -- ONNX_DISABLE_EXCEPTIONS : OFF -- ONNX_WERROR : OFF -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF -- -- ******** Summary ******** -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler version : 12.2.1 -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1 -- CMAKE_PREFIX_PATH : /usr/lib/python3.10/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- CMAKE_MODULE_PATH : /builddir/build/BUILD/pytorch-v2.0.1/cmake/Modules;/builddir/build/BUILD/pytorch-v2.0.1/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.4.1 -- ONNX NAMESPACE : onnx_torch -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- ONNX_USE_LITE_PROTO : OFF -- ONNXIFI_DUMMY_BACKEND : -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF -- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor -- Adding -DNDEBUG to compile flags -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 - False -- Compiling with MAGMA support -- MAGMA INCLUDE DIRECTORIES: /usr/include -- MAGMA LIBRARIES: /usr/lib64/libmagma.so -- MAGMA V2 check: 0 -- Could not find hardware support for NEON on this machine. -- No OMAP3 processor on this machine. -- No OMAP4 processor on this machine. -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- LAPACK requires BLAS -- Cannot find a library with LAPACK API. Not using LAPACK. -- MIOpen not found. Compiling without MIOpen support disabling ROCM because NOT USE_ROCM is set -- Will build oneDNN Graph -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- MKLDNN_CPU_RUNTIME = OMP -- cmake version: 3.26.3 CMake Deprecation Warning at third_party/ideep/mkl-dnn/CMakeLists.txt:36 (cmake_policy): The OLD behavior for policy CMP0025 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. -- DNNL_TARGET_ARCH: X64 -- DNNL_LIBRARY_NAME: dnnl CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/OpenMP.cmake:69 (find_package) third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:117 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_C: -fopenmp CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/OpenMP.cmake:69 (find_package) third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:117 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_CXX: -fopenmp -- Could NOT find Doxyrest (missing: DOXYREST_EXECUTABLE) -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.10.12", minimum required is "2.7") -- Could NOT find Sphinx (missing: SPHINX_EXECUTABLE) -- Could NOT find Git (missing: GIT_EXECUTABLE) -- Enabled workload: TRAINING -- Enabled primitives: ALL -- Enabled primitive CPU ISA: ALL -- Enabled primitive GPU ISA: ALL -- Primitive cache is enabled -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.h -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.h - found -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph_types.h -- Looking for /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph_types.h - found -- Looking for C++ include /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.hpp -- Looking for C++ include /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/include/oneapi/dnnl/dnnl_graph.hpp - found -- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE) -- Cannot find Doxygen package -- Could NOT find Git (missing: GIT_EXECUTABLE) CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:62 (find_package) third_party/ideep/mkl-dnn/CMakeLists.txt:179 (include) This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:62 (find_package) third_party/ideep/mkl-dnn/CMakeLists.txt:179 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- DNNL_GRAPH_BUILD_FOR_CI is set to be OFF -- Compiling oneDNN Graph with CPU runtime OMP support -- Compiling oneDNN Graph with GPU runtime NONE support -- Graph compiler backend is disabled. -- Set version definitions to /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/src/utils/verbose.cpp -- Compiled partition cache is enabled -- Found MKL-DNN: TRUE -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for mmap -- Looking for mmap - found -- Looking for shm_open -- Looking for shm_open - found -- Looking for shm_unlink -- Looking for shm_unlink - found -- Looking for malloc_usable_size -- Looking for malloc_usable_size - found -- Performing Test C_HAS_THREAD -- Performing Test C_HAS_THREAD - Success -- Module support is disabled. -- Version: 9.1.0 -- Build type: Release -- CXX_STANDARD: 17 -- Performing Test has_std_17_flag -- Performing Test has_std_17_flag - Success -- Performing Test has_std_1z_flag -- Performing Test has_std_1z_flag - Success -- Required features: cxx_variadic_templates -- Using Kineto with CUPTI support -- Configuring Kineto dependency: -- KINETO_SOURCE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto -- KINETO_BUILD_TESTS = OFF -- KINETO_LIBRARY_TYPE = static -- CUDA_SOURCE_DIR = /usr/local/cuda -- CUDA_INCLUDE_DIRS = /usr/local/cuda/include -- CUPTI_INCLUDE_DIR = /usr/local/cuda/include -- CUDA_cupti_LIBRARY = /usr/local/cuda/lib64/libcupti.so -- Found CUPTI -- Found PythonInterp: /usr/bin/python3 (found version "3.10.12") INFO ROCM_SOURCE_DIR = -- Kineto: FMT_SOURCE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/fmt -- Kineto: FMT_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/fmt/include INFO CUPTI_INCLUDE_DIR = /usr/local/cuda/include INFO ROCTRACER_INCLUDE_DIR = /include/roctracer INFO DYNOLOG_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/ INFO IPCFABRIC_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog//dynolog/src/ipcfabric/ -- Configured Kineto -- GCC 12.2.1: Adding gcc and gcc_s libs to link line -- Performing Test HAS_WERROR_RETURN_TYPE -- Performing Test HAS_WERROR_RETURN_TYPE - Success -- Performing Test HAS_WERROR_NON_VIRTUAL_DTOR -- Performing Test HAS_WERROR_NON_VIRTUAL_DTOR - Success -- Performing Test HAS_WERROR_BRACED_SCALAR_INIT -- Performing Test HAS_WERROR_BRACED_SCALAR_INIT - Failed -- Performing Test HAS_WERROR_RANGE_LOOP_CONSTRUCT -- Performing Test HAS_WERROR_RANGE_LOOP_CONSTRUCT - Success -- Performing Test HAS_WERROR_BOOL_OPERATION -- Performing Test HAS_WERROR_BOOL_OPERATION - Success -- Performing Test HAS_WINCONSISTENT_MISSING_OVERRIDE -- Performing Test HAS_WINCONSISTENT_MISSING_OVERRIDE - Failed -- Performing Test HAS_WNARROWING -- Performing Test HAS_WNARROWING - Success -- Performing Test HAS_WNO_MISSING_FIELD_INITIALIZERS -- Performing Test HAS_WNO_MISSING_FIELD_INITIALIZERS - Success -- Performing Test HAS_WNO_TYPE_LIMITS -- Performing Test HAS_WNO_TYPE_LIMITS - Success -- Performing Test HAS_WNO_ARRAY_BOUNDS -- Performing Test HAS_WNO_ARRAY_BOUNDS - Success -- Performing Test HAS_WNO_UNKNOWN_PRAGMAS -- Performing Test HAS_WNO_UNKNOWN_PRAGMAS - Success -- Performing Test HAS_WUNUSED_LOCAL_TYPEDEFS -- Performing Test HAS_WUNUSED_LOCAL_TYPEDEFS - Success -- Performing Test HAS_WNO_UNUSED_PARAMETER -- Performing Test HAS_WNO_UNUSED_PARAMETER - Success -- Performing Test HAS_WNO_UNUSED_FUNCTION -- Performing Test HAS_WNO_UNUSED_FUNCTION - Success -- Performing Test HAS_WNO_UNUSED_RESULT -- Performing Test HAS_WNO_UNUSED_RESULT - Success -- Performing Test HAS_WNO_STRICT_OVERFLOW -- Performing Test HAS_WNO_STRICT_OVERFLOW - Success -- Performing Test HAS_WNO_STRICT_ALIASING -- Performing Test HAS_WNO_STRICT_ALIASING - Success -- Performing Test HAS_WNO_ERROR_DEPRECATED_DECLARATIONS -- Performing Test HAS_WNO_ERROR_DEPRECATED_DECLARATIONS - Success -- Performing Test HAS_WVLA_EXTENSION -- Performing Test HAS_WVLA_EXTENSION - Failed -- Performing Test HAS_WNO_ERROR_PEDANTIC -- Performing Test HAS_WNO_ERROR_PEDANTIC - Success -- Performing Test HAS_WNO_ERROR_REDUNDANT_DECLS -- Performing Test HAS_WNO_ERROR_REDUNDANT_DECLS - Success -- Performing Test HAS_WNO_ERROR_OLD_STYLE_CAST -- Performing Test HAS_WNO_ERROR_OLD_STYLE_CAST - Success -- Performing Test HAS_FCOLOR_DIAGNOSTICS -- Performing Test HAS_FCOLOR_DIAGNOSTICS - Failed -- Performing Test HAS_FDIAGNOSTICS_COLOR_ALWAYS -- Performing Test HAS_FDIAGNOSTICS_COLOR_ALWAYS - Success -- Performing Test HAS_WNO_UNUSED_BUT_SET_VARIABLE -- Performing Test HAS_WNO_UNUSED_BUT_SET_VARIABLE - Success -- Performing Test HAS_WNO_MAYBE_UNINITIALIZED -- Performing Test HAS_WNO_MAYBE_UNINITIALIZED - Success -- Performing Test HAS_FNO_MATH_ERRNO -- Performing Test HAS_FNO_MATH_ERRNO - Success -- Performing Test HAS_FNO_TRAPPING_MATH -- Performing Test HAS_FNO_TRAPPING_MATH - Success -- Performing Test HAS_WERROR_FORMAT -- Performing Test HAS_WERROR_FORMAT - Success -- Performing Test HAS_WERROR_CAST_FUNCTION_TYPE -- Performing Test HAS_WERROR_CAST_FUNCTION_TYPE - Success -- Performing Test HAS_WNO_STRINGOP_OVERFLOW -- Performing Test HAS_WNO_STRINGOP_OVERFLOW - Success -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- NUMA paths: -- /usr/include -- /usr/lib64/libnuma.so -- headers outputs: -- sources outputs: -- declarations_yaml outputs: -- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT -- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT - Success -- Using ATen parallel backend: OMP CMake Deprecation Warning at third_party/sleef/CMakeLists.txt:91 (cmake_policy): The OLD behavior for policy CMP0066 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. -- Could NOT find OpenSSL, try to set the path to OpenSSL root folder in the system variable OPENSSL_ROOT_DIR (missing: OPENSSL_CRYPTO_LIBRARY OPENSSL_INCLUDE_DIR) -- Check size of long double -- Check size of long double - done -- Performing Test COMPILER_SUPPORTS_LONG_DOUBLE -- Performing Test COMPILER_SUPPORTS_LONG_DOUBLE - Success -- Performing Test COMPILER_SUPPORTS_FLOAT128 -- Performing Test COMPILER_SUPPORTS_FLOAT128 - Success -- Performing Test COMPILER_SUPPORTS_SSE2 -- Performing Test COMPILER_SUPPORTS_SSE2 - Success -- Performing Test COMPILER_SUPPORTS_SSE4 -- Performing Test COMPILER_SUPPORTS_SSE4 - Success -- Performing Test COMPILER_SUPPORTS_AVX -- Performing Test COMPILER_SUPPORTS_AVX - Success -- Performing Test COMPILER_SUPPORTS_FMA4 -- Performing Test COMPILER_SUPPORTS_FMA4 - Success -- Performing Test COMPILER_SUPPORTS_AVX2 -- Performing Test COMPILER_SUPPORTS_AVX2 - Success -- Performing Test COMPILER_SUPPORTS_AVX512F -- Performing Test COMPILER_SUPPORTS_AVX512F - Success -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Performing Test COMPILER_SUPPORTS_OPENMP -- Performing Test COMPILER_SUPPORTS_OPENMP - Success -- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES -- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES - Success -- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH -- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH - Success -- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM -- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM - Success -- Configuring build for SLEEF-v3.6.0 -- Using option `-Wall -Wno-unused -Wno-attributes -Wno-unused-result -Wno-psabi -ffp-contract=off -fno-math-errno -fno-trapping-math` to compile libsleef -- Building shared libs : OFF -- Building static test bins: OFF -- MPFR : LIB_MPFR-NOTFOUND -- GMP : LIBGMP-NOTFOUND -- RT : /usr/lib64/librt.a -- FFTW3 : LIBFFTW3-NOTFOUND -- OPENSSL : -- SDE : SDE_COMMAND-NOTFOUND Target system: Linux-4.18.0-305.19.1.el8_4.x86_64 Target processor: x86_64 Host system: Linux-4.18.0-305.19.1.el8_4.x86_64 Host processor: x86_64 Detected C compiler: GNU @ /usr/bin/gcc CMake: 3.26.3 Make program: /usr/bin/gmake *** Note: Parallel build is only supported with Ninja *** -- RUNNING_ON_TRAVIS : -- COMPILER_SUPPORTS_OPENMP : 1 AT_INSTALL_INCLUDE_DIR include/ATen/core core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/aten_interned_strings.h core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/enum_tag.h -- _GLIBCXX_USE_CXX11_ABI=1 is already defined as a cmake variable CMake Warning (dev) at torch/CMakeLists.txt:387: Syntax Warning in cmake code at column 107 Argument not separated from preceding token by whitespace. This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at torch/CMakeLists.txt:387: Syntax Warning in cmake code at column 115 Argument not separated from preceding token by whitespace. This warning is for project developers. Use -Wno-dev to suppress it. -- Using lib/python3.10/site-packages as python relative installation path CMake Warning at CMakeLists.txt:1078 (message): Generated cmake files are only fully tested if one builds with system glog, gflags, and protobuf. Other settings may generate files that are not well tested. -- -- ******** Summary ******** -- General: -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler id : GNU -- C++ compiler version : 12.2.1 -- Using ccache if found : ON -- Found ccache : CCACHE_PROGRAM-NOTFOUND -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;ONNX_NAMESPACE=onnx_torch;HAVE_MMAP=1;_FILE_OFFSET_BITS=64;HAVE_SHM_OPEN=1;HAVE_SHM_UNLINK=1;HAVE_MALLOC_USABLE_SIZE=1;USE_EXTERNAL_MZCRC;MINIZ_DISABLE_ZIP_READER_CRC32_CHECKS;USE_FLASH_ATTENTION -- CMAKE_PREFIX_PATH : /usr/lib/python3.10/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- USE_GOLD_LINKER : OFF -- -- TORCH_VERSION : 2.0.1 -- CAFFE2_VERSION : 2.0.1 -- BUILD_CAFFE2 : OFF -- BUILD_CAFFE2_OPS : OFF -- BUILD_STATIC_RUNTIME_BENCHMARK: OFF -- BUILD_TENSOREXPR_BENCHMARK: OFF -- BUILD_NVFUSER_BENCHMARK: OFF -- BUILD_BINARY : OFF -- BUILD_CUSTOM_PROTOBUF : ON -- Link local protobuf : ON -- BUILD_DOCS : OFF -- BUILD_PYTHON : True -- Python version : 3.10.12 -- Python executable : /usr/bin/python3 -- Pythonlibs version : 3.10.12 -- Python library : /usr/lib64/libpython3.10.so.1.0 -- Python includes : /usr/include/python3.10 -- Python site-packages: lib/python3.10/site-packages -- BUILD_SHARED_LIBS : ON -- CAFFE2_USE_MSVC_STATIC_RUNTIME : OFF -- BUILD_TEST : False -- BUILD_JNI : OFF -- BUILD_MOBILE_AUTOGRAD : OFF -- BUILD_LITE_INTERPRETER: OFF -- INTERN_BUILD_MOBILE : -- TRACING_BASED : OFF -- USE_BLAS : 0 -- USE_LAPACK : 0 -- USE_ASAN : OFF -- USE_TSAN : OFF -- USE_CPP_CODE_COVERAGE : OFF -- USE_CUDA : ON -- Split CUDA : -- CUDA static link : OFF -- USE_CUDNN : ON -- USE_EXPERIMENTAL_CUDNN_V8_API: ON -- CUDA version : 12.1 -- USE_FLASH_ATTENTION : ON -- cuDNN version : 8.9.3 -- CUDA root directory : /usr/local/cuda -- CUDA library : /usr/local/cuda/lib64/stubs/libcuda.so -- cudart library : /usr/local/cuda/lib64/libcudart.so -- cublas library : /usr/local/cuda/lib64/libcublas.so;/usr/local/cuda/lib64/libcublasLt.so -- cufft library : /usr/local/cuda/lib64/libcufft.so -- curand library : /usr/local/cuda/lib64/libcurand.so -- cuDNN library : /usr/lib64/libcudnn.so -- nvrtc : /usr/local/cuda/lib64/libnvrtc.so -- CUDA include path : /usr/local/cuda/include -- NVCC executable : /usr/local/cuda-12.1/bin/nvcc -- CUDA compiler : /usr/local/cuda-12.1/bin/nvcc -- CUDA flags : -Xfatbin -compress-all -DONNX_NAMESPACE=onnx_torch -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -Xcudafe --diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=implicit_return_from_non_void_function,--diag_suppress=unsigned_compare_with_zero,--diag_suppress=declared_but_not_referenced,--diag_suppress=bad_friend_decl --expt-relaxed-constexpr --expt-extended-lambda -Wno-deprecated-gpu-targets --expt-extended-lambda -DCUB_WRAPPED_NAMESPACE=at_cuda_detail -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -- CUDA host compiler : -- CUDA --device-c : OFF -- USE_TENSORRT : OFF -- USE_ROCM : OFF -- BUILD_NVFUSER : ON -- USE_EIGEN_FOR_BLAS : ON -- USE_FBGEMM : 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../../bin/mkdisp [ 2%] Built target mkrename_gnuabi [ 2%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/compiler.cpp.o [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/threadpool.c.o [ 2%] Built target clog [ 2%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/constpool.cpp.o [ 2%] Linking C executable ../../bin/mkrename [ 2%] Built target mkalias [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/timer.c.o [ 2%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/cpuinfo.cpp.o [ 2%] Built target addSuffix [ 2%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/op_schema.cpp.o [ 2%] Built target mkdisp [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-common.c.o [ 2%] Built target nvfuser_rt_welford [ 2%] Built target nvfuser_rt_warp [ 2%] Built target mkmasked_gnuabi [ 2%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition.cpp.o Generating nccl.h.in > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/include/nccl.h [ 2%] Built target mkrename [ 2%] Building CXX object c10/CMakeFiles/c10.dir/core/CopyBytes.cpp.o [ 2%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/emithelper.cpp.o Grabbing include/nccl_net.h > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/include/nccl_net.h [ 2%] Built target nvfuser_rt_tensorcore [ 2%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition_cache.cpp.o [ 2%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/binary.cpp.o [ 2%] Built target arraymap [ 2%] Built target nvfuser_rt_memory [ 2%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/constant_cache.cpp.o [ 2%] Built target nvfuser_rt_PhiloxCudaStateRaw Generating nccl.pc.in > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/lib/pkgconfig/nccl.pc [ 2%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/broadcast_strategy.cpp.o [ 2%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/dnnl_backend.cpp.o [ 2%] Generating ATen headers [ 2%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o Compiling init.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/init.o [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-data-getter-setters.c.o [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/async.c.o [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/version.c.o [ 2%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o [ 2%] Built target gen_torch_version [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/core.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/dl.c.o [ 3%] Linking CXX shared library ../lib/libcaffe2_nvrtc.so [ 3%] Generating ATen headers [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/init.c.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/utils.cpp.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/fs.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual bool google::protobuf::io::StringOutputStream::Next(void**, int*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:146:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 146 | if (old_size < target_->capacity()) { | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:41: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual void google::protobuf::io::StringOutputStream::BackUp(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:175:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 175 | GOOGLE_CHECK_LE(count, target_->size()); | ^~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c: In function ‘uv_walk’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:68:19: warning: storing the address of local variable ‘queue’ in ‘((void * (**)[2])MEM[(void *[2] * *)loop_13(D) + 16B])[1]’ [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:78:7: note: in expansion of macro ‘QUEUE_SPLIT’ 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:491:3: note: in expansion of macro ‘QUEUE_MOVE’ 491 | QUEUE_MOVE(&loop->handle_queue, &queue); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:487:9: note: ‘queue’ declared here 487 | QUEUE queue; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:40:27: note: ‘((void * (**)[2])loop)[2]’ declared here 40 | ((const QUEUE *) (q) == (const QUEUE *) QUEUE_NEXT(q)) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:74:9: note: in expansion of macro ‘QUEUE_EMPTY’ 74 | if (QUEUE_EMPTY(h)) \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.c:491:3: note: in expansion of macro ‘QUEUE_MOVE’ 491 | QUEUE_MOVE(&loop->handle_queue, &queue); | ^~~~~~~~~~ [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/common.cc.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/int128.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual void google::protobuf::strings::ArrayByteSource::Skip(size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:50: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:181:48: note: in expansion of macro ‘GOOGLE_CHECK’ 181 | #define GOOGLE_DCHECK(EXPRESSION) while(false) GOOGLE_CHECK(EXPRESSION) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:32: note: in expansion of macro ‘GOOGLE_DCHECK’ 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:157:3: note: in expansion of macro ‘GOOGLE_DCHECK_LE’ 157 | GOOGLE_DCHECK_LE(n, input_.size()); | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual google::protobuf::StringPiece google::protobuf::strings::LimitByteSource::Peek()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:177:20: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (piece.size() > limit_) { | ~~~~~~~~~~~~~^~~~~~~~ [ 3%] Built target convolution-test-helpers [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/cache_blob_id.cpp.o [ 3%] Built target caffe2_nvrtc [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc: In function ‘bool google::protobuf::internal::InitializeEnumStrings(const EnumEntry*, const int*, size_t, ExplicitlyConstructed >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc:86:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian32Fallback(google::protobuf::uint32*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:315:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 315 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian64Fallback(google::protobuf::uint64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:332:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 332 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/emitter.cpp.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/src/utils/CMakeFiles/dnnl_graph_utils.dir/verbose.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgather.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgather.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgather.cc:41:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 3%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/EmbeddingSpMDM.cc.o [ 3%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/EmbeddingSpMDMAvx2.cc.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/cache.c.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/init.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 2; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:421:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 354 | for (int i = 0, offset = 0; i < N - 1; i++, offset += 7) { | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 3; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:423:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 4; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:425:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getaddrinfo.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 5; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:427:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 6; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:429:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 7; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:431:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 8; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:433:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 9; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:435:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 10; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:437:39: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgatherv.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgatherv.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allgatherv.cc:53:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:60, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc: In member function ‘void** google::protobuf::internal::RepeatedPtrFieldBase::InternalExtend(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:61:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 61 | GOOGLE_CHECK_LE(new_size, (std::numeric_limits::max() - kRepHeaderSize) / | ^~~~~~~~~~~~~~~ [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/emitterutils.cpp.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/init.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc: In function ‘void gloo::{anonymous}::allreduce(const gloo::detail::AllreduceOptionsImpl&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:105:14: warning: variable ‘slot’ set but not used [-Wunused-but-set-variable] 105 | const auto slot = Slot::build(kAllreduceSlotPrefix, opts.tag); | ^~~~ [ 3%] Generating ATen sources /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc: In function ‘void gloo::{anonymous}::ring(const gloo::detail::AllreduceOptionsImpl&, ReduceRangeFunction, BroadcastRangeFunction)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:279:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 279 | for (auto i = 0; i < (numSegments - numSegmentsPerRank + 2); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:307:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 307 | if (i < (numSegments - numSegmentsPerRank)) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:315:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 315 | if (i < numSegmentsPerRank) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:362:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 362 | for (auto i = 0; i < (numSegments - numSegmentsPerRank + 2); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:379:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 379 | if (i < (numSegments - numSegmentsPerRank)) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:387:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 387 | if (i < numSegmentsPerRank) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc: In function ‘void gloo::{anonymous}::bcube(const gloo::detail::AllreduceOptionsImpl&, ReduceRangeFunction, BroadcastRangeFunction)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:527:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 527 | if (src == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:540:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 540 | if (dst == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:566:16: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 566 | if (peer == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:583:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 583 | if (src == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:613:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 613 | if (src == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:633:15: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 633 | if (dst == context->rank) { | ~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:646:16: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 646 | if (peer == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:656:16: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 656 | if (peer == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ [ 3%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/dnnl_shape_infer.cpp.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/info.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/alltoallv.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/alltoallv.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/alltoallv.cc:52:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/info.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:43:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:44:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:45:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/concat.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:46:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Greater(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:108:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:126:29: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 126 | BINARY_COMP_HELPER(Greater, >) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:47:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:215:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::GreaterEquals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce.cc:216:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:127:35: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 127 | BINARY_COMP_HELPER(GreaterEquals, >=) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToCodedStream(google::protobuf::io::CodedOutputStream*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:392:46: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 392 | if (final_byte_count - original_byte_count != size) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:48:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToArray(void*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:491:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 491 | if (size < byte_size) return false; | ~~~~~^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:49:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:50:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:36:11: warning: ‘void* memcpy(void*, const void*, size_t)’ writing to an object of type ‘struct gloo::float16’ with no trivial copy-assignment; use copy-assignment or copy-initialization instead [-Wclass-memaccess] 36 | memcpy(ptrs_[i], ptrs_[0], bytes_); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/types.h:96:19: note: ‘struct gloo::float16’ declared here 96 | struct alignas(2) float16 { | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc: In instantiation of ‘void gloo::AllreduceLocal::run() [with T = char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:52:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:31:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/allreduce_local.cc:35:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 35 | for (int i = 1; i < ptrs_.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/status.cc.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/vendor.c.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/vendor.c.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/convolution.cpp.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/statusor.cc.o [ 3%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmBfloat16ConvertAvx512.cc.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/fusion_info.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_STRING; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:510:49: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 184 | if (*oneof_case == field_number) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_MESSAGE; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:703:50: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/environment.cpp.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/uarch.c.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/uarch.c.o [ 3%] Building CXX object c10/CMakeFiles/c10.dir/core/DefaultDtype.cpp.o [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/errorhandler.cpp.o [ 3%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/barrier.cc.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/name.c.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/name.c.o [ 3%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/EmbeddingSpMDMAvx512.cc.o [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/formatter.cpp.o [ 3%] Building CXX object c10/CMakeFiles/c10.dir/core/Device.cpp.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/stringpiece.cc.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/stringprintf.cc.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/arena.cc.o [ 3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/structurally_valid.cc.o [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/func.cpp.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition_hashing.cpp.o [ 3%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/broadcast.cc.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/topology.c.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/topology.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc: In function ‘std::ostream& google::protobuf::operator<<(std::ostream&, const uint128&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc:178:13: warning: comparison of integer expressions of different signedness: ‘std::streamsize’ {aka ‘long int’} and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 178 | if (width > rep.size()) { | ~~~~~~^~~~~~~~~~~~ [ 3%] Linking C static library ../../lib/libittnotify.a In file included from /usr/include/string.h:535, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/common.h:46, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.h:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:36: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘google::protobuf::uint8* google::protobuf::io::EpsCopyOutputStream::WriteRaw(const void*, int, google::protobuf::uint8*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.h:699:16, inlined from ‘virtual google::protobuf::uint8* google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(google::protobuf::uint8*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/implicit_weak_message.h:85:28, inlined from ‘bool google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:419:30, inlined from ‘bool google::protobuf::MessageLite::SerializeToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:403:42: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/funcargscontext.cpp.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/isa.c.o [ 3%] Generating ATen sources In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘google::protobuf::uint8* google::protobuf::io::EpsCopyOutputStream::WriteRaw(const void*, int, google::protobuf::uint8*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.h:699:16, inlined from ‘virtual google::protobuf::uint8* google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(google::protobuf::uint8*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/implicit_weak_message.h:85:28, inlined from ‘bool google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:419:30: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/globals.cpp.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/isa.c.o [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/inst.cpp.o [ 3%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/convolution_pd.cpp.o [ 3%] Built target ittnotify [ 3%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CudaDeviceProperties.cpp.o [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/jitallocator.cpp.o In file included from /usr/include/string.h:535, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:34: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset 0 is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/jitruntime.cpp.o [ 3%] Building CXX object c10/CMakeFiles/c10.dir/core/DeviceType.cpp.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getnameinfo.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘bool google::protobuf::StringPiece::contains(google::protobuf::StringPiece) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:101:21: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 101 | return find(s, 0) != npos; | ~~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘google::protobuf::StringPiece google::protobuf::StringPiece::substr(size_type, size_type) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:262:11: warning: comparison of integer expressions of different signedness: ‘google::protobuf::StringPiece::size_type’ {aka ‘long unsigned int’} and ‘const google::protobuf::stringpiece_ssize_type’ {aka ‘const long int’} [-Wsign-compare] 262 | if (pos > length_) pos = length_; | ~~~~^~~~~~~~~ [ 3%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/logger.cpp.o [ 3%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/cache/init.c.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/cache/init.c.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/strutil.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/brgemm_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc: In function ‘std::string google::protobuf::StringPrintfVector(const char*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:153:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (int i = 0; i < v.size(); ++i) { | ~~^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:156:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 156 | for (int i = v.size(); i < GOOGLE_ARRAYSIZE(cstr); ++i) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/barrier.cc: In function ‘void gloo::barrier(BarrierOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/barrier.cc:30:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 30 | for (size_t d = 1; d < context->size; d <<= 1) { | ~~^~~~~~~~~~~~~~~ [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/cache/descriptor.c.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/partition_impl.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/stubs/time.cc.o [ 4%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmBfloat16ConvertAvx2.cc.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/cache/descriptor.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop-watcher.c.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/shape_infer.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/operand.cpp.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/cache/deterministic.c.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf-lite.dir/__/src/google/protobuf/wire_format_lite.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/context.cc.o [ 4%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CudaUtil.cpp.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/linux/init.c.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/gather.cc.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop.c.o [ 4%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmFloat16ConvertAvx512.cc.o [ 4%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmSparseDenseAvx512.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/gatherv.cc.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/cache/deterministic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/broadcast.cc: In function ‘void gloo::broadcast(BroadcastOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/broadcast.cc:92:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 92 | for (auto i = 0; i < numSends; i++) { | ~~^~~~~~~~~~ [ 4%] Generating ATen declarations_yaml [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/stream.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/reduce.cc.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/pipe.c.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/tensor.cpp.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/linux/init.c.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/deconvolution.cpp.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/extension_set.cc.o [ 4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/generated_enum_util.cc.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/scatter.cc.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/type_constraint.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/osutils.cpp.o [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/ralocal.cpp.o [ 4%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/EmbeddingSpMDMNBit.cc.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/linux/cpuinfo.c.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/ExecuteKernel.cc.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/smallfile.c.o [ 4%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/ExecuteKernelU8S8.cc.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/poll.c.o [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/dnnl_debug.cpp.o [ 4%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/Fbgemm.cc.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/multiline.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘void google::protobuf::CEscapeAndAppend(StringPiece, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:564:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 564 | if (escaped_len == src.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~ [ 4%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityApi.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::memcasecmp(const char*, const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1293:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1293 | for ( int i = 0; i < len; i++ ) { | ~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::GlobalReplaceSubstring(const std::string&, const std::string&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1628:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1628 | match_pos != string::npos; | ~~~~~~~~~~^~~~~~~~~~~~~~~ [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/cpulist.c.o [ 4%] Linking C static library ../../lib/libpthreadpool.a [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/DispatchKey.cpp.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/linux/cpuinfo.c.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 4%] Built target pthreadpool [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/DispatchKeySet.cpp.o [ 4%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityPlatform.cpp.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/smallfile.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CudaDeviceProperties.cpp: In function ‘const std::vector libkineto::createDeviceProps()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CudaDeviceProperties.cpp:31:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 31 | for (size_t i = 0; i < device_count; ++i) { | ~~^~~~~~~~~~~~~~ [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo.dir/src/linux/processors.c.o [ 4%] Generating ../../../include/sleef.h [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/process.c.o Generating sleef.h: mkrename cinz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/jit_brdgmm_kernel.cpp.o [ 4%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/types.cc.o [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/multiline.c.o Generating sleef.h: mkrename cinz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ sse2 Generating sleef.h: mkrename cinz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ sse4 /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc: In function ‘void gloo::gather(GatherOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:36:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 36 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:37:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 37 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:50:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 50 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gather.cc:51:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 51 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ [ 4%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/rapass.cpp.o [ 4%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiCallbackApi.cpp.o Generating sleef.h: mkrename cinz_ 4 8 __m256d __m256 __m128i struct\ {\ __m128i\ x,\ y;\ } __AVX__ [ 4%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/dnnl_debug_autogenerated.cpp.o Generating sleef.h: mkrename cinz_ 4 8 __m256d __m256 __m128i struct\ {\ __m128i\ x,\ y;\ } __AVX__ avx [ 4%] Building CXX object third_party/ideep/mkl-dnn/src/interface/CMakeFiles/dnnl_graph_common.dir/value.cpp.o Generating sleef.h: mkrename finz_ 4 8 __m256d __m256 __m128i struct\ {\ __m128i\ x,\ y;\ } __AVX__ fma4 [ 4%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiEventApi.cpp.o [ 4%] Linking C static library ../../lib/libcpuinfo.a Generating sleef.h: mkrename finz_ 4 8 __m256d __m256 __m128i __m256i __AVX__ avx2 [ 4%] Building CXX object c10/CMakeFiles/c10.dir/core/GeneratorImpl.cpp.o Generating sleef.h: mkrename finz_ 2 4 __m128d __m128 __m128i __m128i __SSE2__ avx2128 Generating sleef.h: mkrename finz_ 8 16 __m512d __m512 __m256i __m512i __AVX512F__ Generating sleef.h: mkrename finz_ 8 16 __m512d __m512 __m256i __m512i __AVX512F__ avx512f [ 4%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/cpulist.c.o Generating sleef.h: mkrename cinz_ 8 16 __m512d __m512 __m256i __m512i __AVX512F__ avx512fnofma Generating sleef.h: mkrename cinz_ 1 1 double float int32_t int32_t __STDC__ purec Generating sleef.h: mkrename finz_ 1 1 double float int32_t int32_t FP_FAST_FMA purecfma [ 5%] Generating include/renameavx512fnofma.h In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ Generating renameavx512fnofma.h: mkrename cinz_ 8 16 avx512fnofma [ 5%] Generating include/renameavx512f.h /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc: In function ‘void gloo::reduce(ReduceOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:171:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 171 | for (auto i = 0; i < numSegments; i++) { | ~~^~~~~~~~~~~~~ Generating renameavx512f.h: mkrename finz_ 8 16 avx512f /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:187:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 187 | if ((i - 2) < numSegmentsPerRank) { | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:199:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 199 | if (i < (numSegments - 2)) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gatherv.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gatherv.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/gatherv.cc:54:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:206:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 206 | if (i < numSegmentsPerRank) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:223:32: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 223 | for (size_t rank = 0; rank < context->size; rank++) { | ~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:224:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 224 | if (rank == context->rank) { | ~~~~~^~~~~~~~~~~~~~~~ [ 5%] Building C object confu-deps/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/linux/processors.c.o [ 5%] Generating include/renameavx2.h Generating renameavx2.h: mkrename finz_ 4 8 avx2 [ 5%] Generating include/renameavx2128.h In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.h:14, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:118:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::GreaterEquals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/reduce.cc:119:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:127:35: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 127 | BINARY_COMP_HELPER(GreaterEquals, >=) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ Generating renameavx2128.h: mkrename finz_ 2 4 avx2128 [ 5%] Built target renameAVX512FNOFMA.h_generated [ 5%] Generating include/renamefma4.h Generating renamefma4.h: mkrename finz_ 4 8 fma4 [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/dnnl_threadpool.cpp.o [ 5%] Generating include/renameavx.h Generating renameavx.h: mkrename cinz_ 4 8 avx /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc: In function ‘void gloo::scatter(ScatterOptions&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:40:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 40 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:41:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 41 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:51:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 51 | for (size_t i = 0; i < context->size; i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:52:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 52 | if (i == context->rank) { | ~~^~~~~~~~~~~~~~~~ [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/eltwise.cpp.o [ 5%] Generating include/renamesse4.h Generating renamesse4.h: mkrename cinz_ 2 4 sse4 [ 5%] Built target cpuinfo [ 5%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmFloat16ConvertAvx2.cc.o [ 5%] Generating include/renamesse2.h Generating renamesse2.h: mkrename cinz_ 2 4 sse2 [ 5%] Generating include/renamepurec_scalar.h [ 5%] Generating include/renamepurecfma_scalar.h [ 5%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-devurandom.c.o Generating renamepurec_scalar.h: mkrename cinz_ 1 1 purec Generating renamepurecfma_scalar.h: mkrename finz_ 1 1 purecfma In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.h:14, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Equals(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/scatter.cc:31:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:124:28: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 124 | BINARY_COMP_HELPER(Equals, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 5%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/signal.c.o [ 5%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/stream.c.o [ 5%] Generating include/renamecuda.h Generating renamecuda.h: mkrename finz_ 1 1 cuda /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc: In function ‘bool google::protobuf::internal::InitializeEnumStrings(const EnumEntry*, const int*, size_t, ExplicitlyConstructed >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_enum_util.cc:86:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (int i = 0; i < size; ++i) { | ~~^~~~~~ [ 5%] Linking C static library ../../lib/libcpuinfo_internals.a [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/engine.cpp.o [ 5%] Built target headers [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/experimental.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/fpmath_mode.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/gemm.cpp.o [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/common/logging.cc.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 5%] Built target cpuinfo_internals [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/inner_product.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/layout_propagator.cpp.o [ 5%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tcp.c.o [ 5%] Generating alias_avx512f.h In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/internal.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c: In function ‘uv__write_callbacks’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:68:19: warning: storing the address of local variable ‘pq’ in ‘((void * (**)[2])MEM[(void *[2] * *)stream_24(D) + 208B])[1]’ [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:78:7: note: in expansion of macro ‘QUEUE_SPLIT’ 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:935:3: note: in expansion of macro ‘QUEUE_MOVE’ 935 | QUEUE_MOVE(&stream->write_completed_queue, &pq); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:930:9: note: ‘pq’ declared here 930 | QUEUE pq; | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:40:27: note: ‘((void * (**)[2])stream)[26]’ declared here 40 | ((const QUEUE *) (q) == (const QUEUE *) QUEUE_NEXT(q)) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/stream.c:932:7: note: in expansion of macro ‘QUEUE_EMPTY’ 932 | if (QUEUE_EMPTY(&stream->write_completed_queue)) | ^~~~~~~~~~~ [ 5%] Built target alias_avx512f.h_generated [ 5%] Built target renameAVX512F.h_generated [ 5%] Built target renameAVX2.h_generated [ 5%] Built target renameAVX2128.h_generated [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/ittnotify.cpp.o [ 5%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/thread.c.o [ 5%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmSparseDenseInt8Avx512.cc.o [ 5%] Built target renameFMA4.h_generated [ 5%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiMetricApi.cpp.o [ 5%] Built target renameAVX.h_generated [ 5%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmSparseDenseVectorInt8Avx512.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c: In function ‘thread_stack_size’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c:195:24: warning: comparison of integer expressions of different signedness: ‘rlim_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 195 | if (lim.rlim_cur >= PTHREAD_STACK_MIN) | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c: In function ‘uv_thread_create_ex’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/thread.c:243:20: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 243 | if (stack_size < PTHREAD_STACK_MIN) | ^ [ 5%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tty.c.o [ 5%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/udp.c.o [ 5%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/proctitle.c.o [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/common/linux.cc.o [ 5%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/context.cc.o [ 5%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/generated_message_table_driven_lite.cc.o [ 5%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/generated_message_util.cc.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/binary_injector_utils.cpp.o [ 5%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-core.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiActivityApi.cpp: In member function ‘void libkineto::CuptiActivityApi::bufferRequested(uint8_t**, size_t*, size_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiActivityApi.cpp:132:40: warning: comparison of integer expressions of different signedness: ‘std::map >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 132 | if (allocatedGpuTraceBuffers_.size() >= maxGpuBufferCount_) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/layer_normalization.cpp.o [ 5%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/lrn.cpp.o [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmI8Depthwise3DAvx2.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiCallbackApi.cpp: In member function ‘void libkineto::CuptiCallbackApi::__callback_switchboard(CUpti_CallbackDomain, CUpti_CallbackId, const CUpti_CallbackData*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiCallbackApi.cpp:148:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 148 | it != cblist->end() && i < MAX_CB_FNS_PER_CB; | ~~^~~~~~~~~~~~~~~~~~~ [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmI8DepthwiseAvx2.cc.o [ 6%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/file_store.cc.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-inotify.c.o [ 6%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/hash_store.cc.o [ 6%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/prefix_store.cc.o [ 6%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/rastack.cpp.o [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmI8DepthwisePerChannelQuantAvx2.cc.o [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmSparseDenseAvx2.cc.o [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmSparseDenseInt8Avx2.cc.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/matmul.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc: In function ‘std::vector > gloo::pciDevices(PCIClassMatch)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:97:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 97 | if (match.value != (pciGetClass(device) & match.mask)) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc: In function ‘int gloo::pciDistance(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:135:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 135 | if (prefixLength == partsA.size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:139:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 139 | if (prefixLength == partsB.size()) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/jit_brgemm_kernel.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/brgemm/jit_brgemm_amx_uker.cpp.o [ 6%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/rendezvous/store.cc.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/GradMode.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/uv-common.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/internal.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c: In function ‘uv__inotify_fork’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:68:19: warning: storing the address of local variable ‘queue’ in ‘((void * (**)[2])MEM[(void *[2] * *)&tmp_watcher_list + 32B])[1]’ [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:78:7: note: in expansion of macro ‘QUEUE_SPLIT’ 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:133:5: note: in expansion of macro ‘QUEUE_MOVE’ 133 | QUEUE_MOVE(&tmp_watcher_list.watchers, &queue); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:92:9: note: ‘queue’ declared here 92 | QUEUE queue; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:40:27: note: ‘*(void * (**)[2])((char *)&tmp_watcher_list + offsetof(struct watcher_list, watchers[0]))’ declared here 40 | ((const QUEUE *) (q) == (const QUEUE *) QUEUE_NEXT(q)) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/queue.h:74:9: note: in expansion of macro ‘QUEUE_EMPTY’ 74 | if (QUEUE_EMPTY(h)) \ | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libuv/src/unix/linux-inotify.c:133:5: note: in expansion of macro ‘QUEUE_MOVE’ 133 | QUEUE_MOVE(&tmp_watcher_list.watchers, &queue); | ^~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = long int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/linux.cc:112:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const long int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/op_executable.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_batch_normalization_list.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_batch_normalization_utils.cpp.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-syscalls.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/procfs-exepath.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-getrandom.c.o [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/QuantUtilsAvx512.cc.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-sysctl-linux.c.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_binary_list.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_STRING; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:510:49: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 184 | if (*oneof_case == field_number) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_MESSAGE; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:703:50: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandlerLite]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.cc:100:66: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_debug.cpp.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/InferenceMode.cpp.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/SafePyObject.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/store.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/file_store.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/file_store.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Greater(const T1&, const T2&) [with T1 = long unsigned int; T2 = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/rendezvous/file_store.cc:107:3: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:126:29: warning: comparison of integer expressions of different signedness: ‘const long unsigned int’ and ‘const int’ [-Wsign-compare] 126 | BINARY_COMP_HELPER(Greater, >) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ [ 6%] Linking C static library ../../../lib/libtensorpipe_uv.a [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/Scalar.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/subgraph.cpp.o [ 6%] Built target tensorpipe_uv [ 6%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/string.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_desc_wrapper.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_storage.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_tracking.cpp.o [ 6%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/address.cc.o [ 6%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/buffer.cc.o [ 6%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/context.cc.o [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/OptimizedKernelsAvx2.cc.o [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/PackDepthwiseConvMatrixAvx2.cc.o [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/QuantUtilsAvx2.cc.o [ 6%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/device.cc.o [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/spmmUtilsAvx2.cc.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/Storage.cpp.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/StorageImpl.cpp.o Compiling enhcompat.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/enhcompat.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/Stream.cpp.o Compiling proxy.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/proxy.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_concat.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/memory_zero_pad.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/pooling.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/prelu.cpp.o [ 6%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/support.cpp.o [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/UtilsAvx2.cc.o [ 6%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx2.dir/src/FbgemmFP16UKernelsAvx2.cc.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/SymBool.cpp.o [ 6%] Linking CXX static library ../../../lib/libprotobuf-lite.a [ 6%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/compile_ops.cpp.o [ 6%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/target.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_attr.cpp.o [ 6%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_cache.cpp.o [ 6%] Building CXX object c10/CMakeFiles/c10.dir/core/SymFloat.cpp.o [ 6%] Built target libprotobuf-lite [ 6%] Built target renameSSE4.h_generated [ 6%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfiler.cpp.o [ 7%] Built target renameSSE2.h_generated [ 7%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/UtilsAvx512.cc.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/implicit_weak_message.cc.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/coded_stream.cc.o [ 7%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfilerApi.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/primitive_desc.cpp.o [ 7%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/pair.cc.o [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/type.cpp.o [ 7%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/unbound_buffer.cc.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/cpu_barrier.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/cpu_isa_traits.cpp.o [ 7%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiRangeProfilerConfig.cpp.o [ 7%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/address.cc.o [ 7%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/buffer.cc.o [ 7%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/context.cc.o [ 7%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/device.cc.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/cpu_reducer.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian32Fallback(google::protobuf::uint32*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:315:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 315 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In member function ‘bool google::protobuf::io::CodedInputStream::ReadLittleEndian64Fallback(google::protobuf::uint64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:332:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 332 | if (BufferSize() >= sizeof(*value)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 2; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:421:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 354 | for (int i = 0, offset = 0; i < N - 1; i++, offset += 7) { | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 3; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:423:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 4; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:425:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 5; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:427:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 6; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:429:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 7; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:431:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 8; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:433:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 9; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:435:38: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc: In instantiation of ‘const google::protobuf::uint8* google::protobuf::io::{anonymous}::DecodeVarint64KnownSize(const google::protobuf::uint8*, google::protobuf::uint64*) [with long unsigned int N = 10; google::protobuf::uint8 = unsigned char; google::protobuf::uint64 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:437:39: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.cc:354:33: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/amx/jit_avx512_core_amx_copy_kern.cpp.o [ 7%] Built target dnnl_graph_utils [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/virtmem.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/amx/jit_avx512_core_amx_gemm_kern.cpp.o [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zone.cpp.o [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonehash.cpp.o [ 7%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmFP16UKernelsAvx512.cc.o [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/SymInt.cpp.o [ 7%] Linking CXX static library ../../lib/libfmt.a [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/SymIntArrayRef.cpp.o [ 7%] Built target fmt [ 7%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/constant_propagation.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp: In member function ‘void libkineto::CuptiRangeProfilerSession::addRangeEvents(const libkineto::CuptiProfilerResult&, const libkineto::CuptiRBProfilerSession*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp:152:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | if (num_kernels != result.rangeVals.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp:182:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 182 | for (int i = 0; i < metricNames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 7%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/insert_ops.cpp.o [ 7%] Built target kineto_api [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/SymNodeImpl.cpp.o [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/TensorImpl.cpp.o [ 7%] Building CXX object 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third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_gemm_bf16bf16f32_kern.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_gemv_bf16bf16f32_kern.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_an_kern_autogen.cpp.o [ 7%] Built target renamePUREC_SCALAR.h_generated [ 7%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/loop.cc.o [ 7%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/pair.cc.o [ 7%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo.dir/transport/tcp/unbound_buffer.cc.o [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/core/zonevector.cpp.o Compiling misc/nvmlwrap.cc > 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third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/armformatter.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/reorder.cpp.o [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/WrapDimMinimal.cpp.o [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/DeviceGuardImplInterface.cpp.o [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64assembler.cpp.o [ 7%] Built target dnnl_graph_backend_fake [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64builder.cpp.o [ 7%] Built target renamePURECFMA_SCALAR.h_generated Compiling misc/cudawrap.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/cudawrap.o [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/GPUTrace.cpp.o [ 7%] Generating renamedsp128.h [ 7%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiNvPerfMetric.cpp.o [ 7%] Built target renamedsp128.h_generated [ 7%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Demangle.cpp.o [ 7%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/EventProfiler.cpp.o [ 7%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/EventProfilerController.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_at_kern_autogen.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_bn_kern_autogen.cpp.o Compiling misc/ibvwrap.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/ibvwrap.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/zero_copy_stream_impl.cc.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/zero_copy_stream_impl_lite.cc.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/message_lite.cc.o [ 7%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_avx512.dir/src/FbgemmFP16UKernelsAvx512_256.cc.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/resampling.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/layout_propagation.cpp.o [ 7%] Generating dispsse.c [ 7%] Generating renamedsp256.h [ 7%] Built target renamedsp256.h_generated [ 7%] Built target dispsse.c_generated [ 7%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/lower.cpp.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/parse_context.cc.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/repeated_field.cc.o [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/bytestream.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual bool google::protobuf::io::StringOutputStream::Next(void**, int*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:146:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 146 | if (old_size < target_->capacity()) { | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:41: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc: In member function ‘virtual void google::protobuf::io::StringOutputStream::BackUp(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/zero_copy_stream_impl_lite.cc:175:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 175 | GOOGLE_CHECK_LE(count, target_->size()); | ^~~~~~~~~~~~~~~ [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/HermeticPyObjectTLS.cpp.o [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64compiler.cpp.o [ 7%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64emithelper.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_24x8_copy_bt_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToCodedStream(google::protobuf::io::CodedOutputStream*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:392:46: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 392 | if (final_byte_count - original_byte_count != size) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc: In member function ‘bool google::protobuf::MessageLite::SerializePartialToArray(void*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:491:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 491 | if (size < byte_size) return false; | ~~~~~^~~~~~~~~~~ [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/rnn.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/memory_planning.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual void google::protobuf::strings::ArrayByteSource::Skip(size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:50: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:181:48: note: in expansion of macro ‘GOOGLE_CHECK’ 181 | #define GOOGLE_DCHECK(EXPRESSION) while(false) GOOGLE_CHECK(EXPRESSION) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:186:32: note: in expansion of macro ‘GOOGLE_DCHECK’ 186 | #define GOOGLE_DCHECK_LE(A, B) GOOGLE_DCHECK((A) <= (B)) | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:157:3: note: in expansion of macro ‘GOOGLE_DCHECK_LE’ 157 | GOOGLE_DCHECK_LE(n, input_.size()); | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc: In member function ‘virtual google::protobuf::StringPiece google::protobuf::strings::LimitByteSource::Peek()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/bytestream.cc:177:20: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (piece.size() > limit_) { | ~~~~~~~~~~~~~^~~~~~~~ [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/LocalDispatchKeySet.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_an_kern_autogen.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/rw_mutex.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_at_kern_autogen.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/transform.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In constructor ‘libkineto::EventGroupSet::EventGroupSet(CUpti_EventGroupSet&, std::map&, libkineto::CuptiEventApi&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:166:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 166 | for (int g = 0; g < set.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventGroupSet::collectSample()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:198:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 198 | for (int g = 0; g < set_.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:208:17: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 208 | if (v == CUPTI_EVENT_OVERFLOW) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventGroupSet::printDescription(std::ostream&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:228:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 228 | for (int g = 0; g < set_.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventProfiler::initMetrics(const std::set >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:267:19: warning: comparison of integer expressions of different signedness: ‘CUpti_MetricID’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 267 | if (metric_id == ~0) { | ~~~~~~~~~~^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:60, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc: In member function ‘void** google::protobuf::internal::RepeatedPtrFieldBase::InternalExtend(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:159:31: note: in expansion of macro ‘GOOGLE_CHECK’ 159 | #define GOOGLE_CHECK_LE(A, B) GOOGLE_CHECK((A) <= (B)) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.cc:61:3: note: in expansion of macro ‘GOOGLE_CHECK_LE’ 61 | GOOGLE_CHECK_LE(new_size, (std::numeric_limits::max() - kRepHeaderSize) / | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘bool libkineto::EventProfiler::initEventGroups()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:314:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 314 | for (int i = 0; i < eventGroupSets_->numSets; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ [ 7%] Generating dispavx.c /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventProfiler::printSets(std::ostream&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:514:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 514 | for (int i = 0; i < sets_.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_convolution_list.cpp.o [ 7%] Built target dispavx.c_generated [ 7%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/common.cc.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/scratchpad.cpp.o [ 7%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/scratchpad_debug.cpp.o [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/PyInterpreter.cpp.o [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/PyObjectSlot.cpp.o [ 7%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/PythonDispatcherTLS.cpp.o In file included from /usr/include/string.h:535, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/common.h:46, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.h:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:36: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘google::protobuf::uint8* google::protobuf::io::EpsCopyOutputStream::WriteRaw(const void*, int, google::protobuf::uint8*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.h:699:16, inlined from ‘virtual google::protobuf::uint8* google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(google::protobuf::uint8*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/implicit_weak_message.h:85:28, inlined from ‘bool google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:419:30, inlined from ‘bool google::protobuf::MessageLite::SerializeToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:403:42: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/int128.cc.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘google::protobuf::uint8* google::protobuf::io::EpsCopyOutputStream::WriteRaw(const void*, int, google::protobuf::uint8*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/coded_stream.h:699:16, inlined from ‘virtual google::protobuf::uint8* google::protobuf::internal::ImplicitWeakMessage::_InternalSerialize(google::protobuf::uint8*, google::protobuf::io::EpsCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/implicit_weak_message.h:85:28, inlined from ‘bool google::protobuf::MessageLite::SerializePartialToZeroCopyStream(google::protobuf::io::ZeroCopyOutputStream*) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/message_lite.cc:419:30: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin___memcpy_chk(void*, const void*, long unsigned int, long unsigned int)’ specified size between 18446744071562067968 and 18446744073709551615 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:19: In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:11, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:26, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:16, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:32, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:11, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:26, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:16, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:32, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 2 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 24 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:39, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 16 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: at offset 8 into object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘val’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:28:6: note: object ‘item’ of size 8 28 | void generate( | ^~~~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:11, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Operand::is(int, uint32_t) const’, inlined from ‘bool Xbyak::Operand::isMEM(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:578:59, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:26, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:618:39: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 618 | return (kind == 0 || (kind_ & kind)) && (bit == 0 || (bit_ & bit)); // cf. you can set (8|16) | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:16, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:32, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:30: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:53: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~~~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 16 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:16, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P) [with T = Xbyak::Reg64; P = Xbyak::Reg64]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:178:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33, inlined from ‘dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:38:31, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:40:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::push(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2603:42, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:47:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::push(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2603:42, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:51:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2110:10, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2107:7, inlined from ‘void Xbyak::CodeGenerator::cmp(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:143:59, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:57:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:29:65: note: object ‘reg_nthr’ of size 8 29 | jit_generator &code, Xbyak::Reg64 reg_ctx, Xbyak::Reg64 reg_nthr) { | ~~~~~~~~~~~~~^~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2095:10, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2090:7, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2112:11, inlined from ‘void Xbyak::CodeGenerator::cmp(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:143:59, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:57:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::pop(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2604:41, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:58:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opR_ModM(const Xbyak::Operand&, int, int, int, int, int, bool, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2074:10, inlined from ‘void Xbyak::CodeGenerator::not_(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:600:40, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:65:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2159:11, inlined from ‘void Xbyak::CodeGenerator::opPushPop(const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2148:7, inlined from ‘void Xbyak::CodeGenerator::pop(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2604:41, inlined from ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:76:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp: In function ‘void dnnl::impl::cpu::x64::simple_barrier::generate(dnnl::impl::cpu::x64::jit_generator&, Xbyak::Reg64, Xbyak::Reg64)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.cpp:34:18: note: object ‘reg_tmp’ of size 8 34 | Xbyak::Reg64 reg_tmp = [&]() { | ^~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_bn_kern_autogen.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/bf16/jit_avx512_core_s16_48x8_copy_bt_kern_autogen.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_an_kern_autogen.cpp.o [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/serialization.cpp.o In file included from /usr/include/string.h:535, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/port.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/macros.h:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:34: In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = bool]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset 0 is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 8%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/shuffle.cpp.o Compiling misc/utils.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/utils.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/softmax.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/stream.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc: In function ‘std::ostream& google::protobuf::operator<<(std::ostream&, const uint128&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/int128.cc:178:13: warning: comparison of integer expressions of different signedness: ‘std::streamsize’ {aka ‘long int’} and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 178 | if (width > rep.size()) { | ~~~~~~^~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/sum.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/utils.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/verbose.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/status.cc.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_at_kern_autogen.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_bn_kern_autogen.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/passes/utils.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/statusor.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/stringpiece.cc.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/init.c.o [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/add.c.o [ 9%] Built target torch_python_stubs [ 9%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/binary_fusion.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_deconvolution_list.cpp.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_eltwise_list.cpp.o [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/average-pooling.c.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/stringprintf.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/structurally_valid.cc.o [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/channel-shuffle.c.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = long unsigned int]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/strutil.cc.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_f32_copy_bt_kern_autogen.cpp.o [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/clamp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘bool google::protobuf::StringPiece::contains(google::protobuf::StringPiece) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:101:21: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 101 | return find(s, 0) != npos; | ~~~~~~~~~~~^~~~~~~ [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/convolution.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc: In member function ‘google::protobuf::StringPiece google::protobuf::StringPiece::substr(size_type, size_type) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringpiece.cc:262:11: warning: comparison of integer expressions of different signedness: ‘google::protobuf::StringPiece::size_type’ {aka ‘long unsigned int’} and ‘const google::protobuf::stringpiece_ssize_type’ {aka ‘const long int’} [-Wsign-compare] 262 | if (pos > length_) pos = length_; | ~~~~^~~~~~~~~ [ 9%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmBfloat16Convert.cc.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx2_kernel_sgemm_kern.cpp.o In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = float]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 3] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_common_gemm_f32.cpp.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/time.cc.o [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/wire_format_lite.cc.o [ 9%] Building C object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/ittnotify/ittnotify_static.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc: In function ‘std::string google::protobuf::StringPrintfVector(const char*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:153:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (int i = 0; i < v.size(); ++i) { | ~~^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/stringprintf.cc:156:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 156 | for (int i = v.size(); i < GOOGLE_ARRAYSIZE(cstr); ++i) { In function ‘void* memcpy(void*, const void*, size_t)’, inlined from ‘void google::protobuf::internal::ElementCopier::operator()(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1641:11, inlined from ‘void google::protobuf::RepeatedField::CopyArray(Element*, const Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1626:37, inlined from ‘void google::protobuf::RepeatedField::MoveArray(Element*, Element*, int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1620:12, inlined from ‘void google::protobuf::RepeatedField::Reserve(int) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1601:14, inlined from ‘google::protobuf::RepeatedField::RepeatedField(const google::protobuf::RepeatedField&) [with Element = double]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/repeated_field.h:1196:12: /usr/include/bits/string_fortified.h:29:33: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ offset [0, 7] is out of the bounds [0, 0] [-Warray-bounds] 29 | return __builtin___memcpy_chk (__dest, __src, __len, | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ 30 | __glibc_objsize0 (__dest)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/brgemm_types.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/brgemm.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:24: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2110:10, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2107:7, inlined from ‘void Xbyak::CodeGenerator::add(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:51:59, inlined from ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1247:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::reg64_t [1]’ {aka ‘const Xbyak::Reg64 [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1211:17: note: object ‘reg_data_stride’ of size 8 1211 | reg64_t reg_data_stride, reg64_t reg_buf, bool is_rd_tail) { | ~~~~~~~~^~~~~~~~~~~~~~~ [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/deconvolution.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2095:10, inlined from ‘void Xbyak::CodeGenerator::opModRM(const Xbyak::Operand&, const Xbyak::Operand&, bool, bool, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2090:7, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2112:11, inlined from ‘void Xbyak::CodeGenerator::add(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:51:59, inlined from ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1247:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_brgemm_amx_uker_base_t::bf32_downconvert(int, int, reg64_t, int, reg64_t, reg64_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/brgemm/jit_brgemm_amx_uker.cpp:1230:16: note: object ‘reg_data_aux’ of size 8 1230 | const auto reg_data_aux = reg_tmp_gpr; | ^~~~~~~~~~~~ [ 9%] Building C object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/ittnotify/jitprofiling.c.o [ 9%] Building ASM object third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/CMakeFiles/dnnl_common.dir/ittnotify/ittptmark64.S.o [ 9%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_an_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘void google::protobuf::CEscapeAndAppend(StringPiece, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:564:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 564 | if (escaped_len == src.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~ [ 9%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmConv.cc.o [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/fully-connected.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::memcasecmp(const char*, const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1293:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1293 | for ( int i = 0; i < len; i++ ) { | ~~^~~~~ [ 9%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/global-average-pooling.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc: In function ‘int google::protobuf::GlobalReplaceSubstring(const std::string&, const std::string&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/strutil.cc:1628:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1628 | match_pos != string::npos; | ~~~~~~~~~~^~~~~~~~~~~~~~~ [ 9%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/any.cc.o [ 9%] Building CXX object 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/builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/socket.o [ 10%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/init.c.o [ 10%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/operator-delete.c.o [ 10%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/add.c.o [ 10%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/indirection.c.o [ 10%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/average-pooling.c.o [ 10%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/channel-shuffle.c.o [ 10%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/clamp.c.o [ 10%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/operator-run.c.o [ 10%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/conv-prepack.cc.o [ 10%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64formatter.cpp.o [ 10%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/bn_fusion.cpp.o [ 10%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_bn_kern_autogen.cpp.o [ 10%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/api.pb.cc.o Compiling misc/argcheck.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/argcheck.o [ 10%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/compiler/importer.cc.o [ 10%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/compiler/parser.cc.o [ 10%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8lut32norm/scalar.c.o [ 10%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8lut/scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/x8lut/scalar.c:17:19: warning: argument 3 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 17 | const uint8_t t[RESTRICT_STATIC 256], | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/x8lut/scalar.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/x8lut.h:25:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 25 | const uint8_t* t, \ | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/x8lut.h:28:1: note: in expansion of macro ‘DECLARE_X8LUT_UKERNEL_FUNCTION’ 28 | DECLARE_X8LUT_UKERNEL_FUNCTION(x8lut_ukernel__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/concat_fusion.cpp.o [ 10%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/sgemm/6x8-psimd.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/sgemm/6x8-psimd.c:23:42: warning: argument 9 of type ‘const struct qnnp_fp32_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const struct qnnp_fp32_clamping_params clamping_params[restrict static 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/sgemm/6x8-psimd.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/sgemm.h:30:47: note: previously declared as ‘const struct qnnp_fp32_clamping_params *’ 30 | const struct qnnp_fp32_clamping_params* clamping_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/sgemm.h:35:1: note: in expansion of macro ‘DECLARE_SGEMM_UKERNEL_FUNCTION’ 35 | DECLARE_SGEMM_UKERNEL_FUNCTION(sgemm_ukernel_6x8__psimd) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Built target generate-torch-sources [ 10%] Generating src/x86_64-fma/2d-fourier-8x8.py.o [ 10%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/convolution.c.o [ 10%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack_reference_layers.dir/src/ref/convolution-output.c.o [ 10%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack_reference_layers.dir/src/ref/convolution-input-gradient.c.o [ 10%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8avgpool/mp8x9p8q-sse2.c.o [ 10%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64func.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/mp8x9p8q-sse2.c:26:50: warning: argument 10 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/mp8x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:32:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 32 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:35:1: note: in expansion of macro ‘DECLARE_Q8MPAVGPOOL_UKERNEL_FUNCTION’ 35 | DECLARE_Q8MPAVGPOOL_UKERNEL_FUNCTION(q8avgpool_ukernel_mp8x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 10%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack_reference_layers.dir/src/ref/convolution-kernel.c.o [ 10%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack_reference_layers.dir/src/ref/fully-connected-output.c.o [ 10%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack_reference_layers.dir/src/ref/max-pooling-output.c.o [ 10%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8avgpool/up8x9-sse2.c.o [ 10%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8avgpool/up8xm-sse2.c.o [ 10%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack_reference_layers.dir/src/ref/softmax-output.c.o [ 10%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8conv/4x4c2-sse2.c.o [ 10%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_f32_copy_bt_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8x9-sse2.c:25:50: warning: argument 9 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8x9-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:47:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 47 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:51:1: note: in expansion of macro ‘DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 51 | DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION(q8avgpool_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8xm-sse2.c:25:50: warning: argument 9 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8avgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:47:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 47 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8avgpool.h:52:1: note: in expansion of macro ‘DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 52 | DECLARE_Q8UPAVGPOOL_UKERNEL_FUNCTION(q8avgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64instapi.cpp.o [ 11%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack_reference_layers.dir/src/ref/relu-output.c.o [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/deconvolution.c.o [ 11%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/SizesAndStrides.cpp.o [ 11%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-prepack.cc.o [ 11%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack_reference_layers.dir/src/ref/relu-input-gradient.c.o [ 11%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/descriptor.cc.o [ 11%] Linking C static library ../../lib/libnnpack_reference_layers.a [ 11%] Built target nnpack_reference_layers [ 11%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/descriptor.pb.cc.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/scalar.c.o [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fully-connected.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/scalar.c:103:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 103 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/scalar.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:30:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 30 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fully-connected-sparse.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-bfly4/cs16-bfly4-samples1-scalar.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-bfly4/cs16-bfly4-samples4-scalar.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/sse.c.o [ 11%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/descriptor_database.cc.o [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/global-average-pooling.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8conv/4x4c2-sse2.c:23:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8conv/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8conv.h:31:50: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 31 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8conv.h:37:1: note: in expansion of macro ‘DECLARE_Q8CONV_UKERNEL_FUNCTION’ 37 | DECLARE_Q8CONV_UKERNEL_FUNCTION(q8conv_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/hardsigmoid.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-bfly4/gen/cs16-bfly4-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘std::string google::protobuf::compiler::{anonymous}::MapEntryName(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:99:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 99 | for (int i = 0; i < field_name.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsUpperCamelCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:133:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 133 | for (int i = 1; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsUpperUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:142:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (int i = 0; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsLowerUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:152:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | for (int i = 0; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In function ‘bool google::protobuf::compiler::{anonymous}::IsNumberFollowUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:162:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 162 | for (int i = 1; i < name.length(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc: In member function ‘void google::protobuf::compiler::Parser::LocationRecorder::AttachComments(std::string*, std::string*, std::vector >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/parser.cc:505:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 505 | for (int i = 0; i < detached_comments->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/hardswish.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc: In function ‘std::string google::protobuf::compiler::CanonicalizePath(std::string)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc:293:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 293 | for (int i = 0; i < parts.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc: In member function ‘google::protobuf::compiler::DiskSourceTree::DiskFileToVirtualFileResult google::protobuf::compiler::DiskSourceTree::DiskFileToVirtualFile(const std::string&, std::string*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc:401:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 401 | for (int i = 0; i < mappings_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc: In member function ‘google::protobuf::io::ZeroCopyInputStream* google::protobuf::compiler::DiskSourceTree::OpenVirtualFile(const std::string&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/importer.cc:467:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 467 | for (int i = 0; i < mappings_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-bfly4/gen/cs16-bfly4-scalar-x2.c.o [ 11%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8dwconv/mp8x25-sse2.c.o [ 11%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8dwconv/up8x9-sse2.c.o [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/leaky-relu.c.o [ 11%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64instdb.cpp.o [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/max-pooling.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:42:44: warning: argument 11 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 42 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:69:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 69 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:363:44: warning: argument 10 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 363 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:90:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 90 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:94:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 94 | DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:535:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 535 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:79:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 79 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_2x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-bfly4/gen/cs16-bfly4-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:1174:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1174 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:260:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 260 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:1847:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1847 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:171:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 171 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:1992:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1992 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:200:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 200 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2161:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2161 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:231:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2448:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2448 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1160:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1160 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2724:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2724 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1244:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1244 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:2907:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2907 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1329:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1329 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:3685:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3685 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1420:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1420 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4172:41: warning: argument 5 of type ‘const union xnn_f32_gavgpool_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4172 | const union xnn_f32_gavgpool_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:314:44: note: previously declared as ‘const union xnn_f32_gavgpool_params *’ 314 | const union xnn_f32_gavgpool_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:318:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION’ 318 | DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION(xnn_f32_gavgpool_cw_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4284:44: warning: argument 8 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4284 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:31:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 31 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:35:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 35 | DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7p7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4478:44: warning: argument 7 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4478 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:49:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 49 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:53:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4590:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4590 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:229:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 229 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4674:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4674 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:244:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 244 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:4821:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4821 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:231:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 231 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5322:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5322 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:143:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5419:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5419 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:158:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5583:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5583 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:145:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 145 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:5764:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5764 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:48:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 48 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:52:1: note: in expansion of macro ‘DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f32_maxpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6016:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6016 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:69:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 69 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6340:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6340 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:91:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 91 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:95:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 95 | DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6555:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6555 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:108:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_32x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6797:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6797 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:26: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:339:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 339 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6869:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6869 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:541:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 541 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:6933:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6933 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:362:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 362 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7005:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7005 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7069:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7069 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:197:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 197 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/TorchDispatchModeTLS.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7130:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7130 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:479:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 479 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7183:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7183 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:220:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 220 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7244:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7244 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:502:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 502 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7297:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7297 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:385:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 385 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7369:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7369 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:610:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7433:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7433 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:587:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7497:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7497 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:656:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 656 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7561:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7561 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7626:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7626 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:525:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 525 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7683:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7683 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:408:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 408 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7755:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7755 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:633:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 633 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7818:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7818 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:252:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 252 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7873:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7873 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:505:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 505 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/sigmoid.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:7943:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7943 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:555:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 555 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8006:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8006 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:27: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:36:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c4__sse_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8111:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8111 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:761:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 761 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__sse_sqrt_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8143:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8143 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:219:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 219 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8188:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8188 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8233:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8233 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1108:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1108 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:8356:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8356 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse.c:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:128:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 128 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/conv_block_fusion.cpp.o [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/softargmax.c.o [ 11%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/conv_post_ops_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/up8x9-sse2.c:22:47: warning: argument 8 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/up8x9-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:30:48: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 30 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:34:1: note: in expansion of macro ‘DECLARE_Q8UPDWCONV_UKERNEL_FUNCTION’ 34 | DECLARE_Q8UPDWCONV_UKERNEL_FUNCTION(q8dwconv_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/tanh.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/mp8x25-sse2.c:23:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8dwconv/mp8x25-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:46:48: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 46 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8dwconv.h:49:1: note: in expansion of macro ‘DECLARE_Q8MPDWCONV_UKERNEL_FUNCTION’ 49 | DECLARE_Q8MPDWCONV_UKERNEL_FUNCTION(q8dwconv_ukernel_mp8x25__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::{anonymous}::ToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:257:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 257 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::{anonymous}::ToJsonName(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:281:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 281 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::{anonymous}::EnumValueToPascalCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:300:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 300 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘std::string google::protobuf::{anonymous}::PrefixRemover::MaybeRemove(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:344:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 344 | for (i = 0, j = 0; i < str.size() && j < prefix_.size(); i++) { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:361:14: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 361 | while (i < str.size() && str[i] == '_') { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:366:11: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 366 | if (i == str.size()) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::set >* google::protobuf::{anonymous}::NewAllowedProto3Extendee()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:474:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 474 | for (int i = 0; i < GOOGLE_ARRAYSIZE(kOptionNames); ++i) { [ 11%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/operator-delete.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-fftr/gen/cs16-fftr-scalar-x1.c.o [ 11%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/conv-run.cc.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-fftr/gen/cs16-fftr-scalar-x2.c.o Compiling misc/gdrwrap.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/gdrwrap.o [ 11%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64operand.cpp.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-fftr/gen/cs16-fftr-scalar-x4.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x1.c.o [ 11%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/arm/a64rapass.cpp.o [ 11%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gavgpool/mp8x7p7q-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorPool::Tables::RollbackToLastCheckpoint()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:859:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 859 | i < symbols_after_checkpoint_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:863:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 863 | i < files_after_checkpoint_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:867:10: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 867 | i < extensions_after_checkpoint_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/mp8x7p7q-sse2.c:24:50: warning: argument 8 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/mp8x7p7q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:30:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 30 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:33:1: note: in expansion of macro ‘DECLARE_Q8MPGAVGPOOL_UKERNEL_FUNCTION’ 33 | DECLARE_Q8MPGAVGPOOL_UKERNEL_FUNCTION(q8gavgpool_ukernel_mp8x7p7q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorPool::FindAllExtensions(const google::protobuf::Descriptor*, std::vector*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:1574:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1574 | for (int i = 0; i < numbers.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘bool google::protobuf::{anonymous}::RetrieveOptionsAssumingRightPool(int, const google::protobuf::Message&, std::vector >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2282:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2282 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘bool google::protobuf::{anonymous}::FormatLineOptions(int, const google::protobuf::Message&, const google::protobuf::DescriptorPool*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2366:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2366 | for (int i = 0; i < all_options.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::{anonymous}::SourceLocationCommentPrinter::AddPreComment(std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2398:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2398 | for (int i = 0; i < source_loc_.leading_detached_comments.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘std::string google::protobuf::{anonymous}::SourceLocationCommentPrinter::FormatComment(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:2421:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2421 | for (int i = 0; i < lines.size(); ++i) { | ~~^~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorBuilder::ValidateSymbolName(const std::string&, const std::string&, const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4098:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4098 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorBuilder::AddRecursiveImportError(const google::protobuf::FileDescriptorProto&, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4208:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4208 | for (int i = from_here; i < tables_->pending_files_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4214:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4214 | if (from_here < tables_->pending_files_.size() - 1) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘const google::protobuf::FileDescriptor* google::protobuf::DescriptorBuilder::BuildFile(const google::protobuf::FileDescriptorProto&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:4287:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4287 | for (int i = 0; i < tables_->pending_files_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/cs16-vsquareabs/gen/cs16-vsquareabs-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In function ‘std::string google::protobuf::ToLowercaseWithoutUnderscores(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:5945:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5945 | for (int i = 0; i < name.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 11%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/duration.pb.cc.o [ 11%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/dynamic_message.cc.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x1.c.o [ 11%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/empty.pb.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:95:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 95 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gavgpool/up8x7-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc: In member function ‘void google::protobuf::DescriptorBuilder::OptionInterpreter::UpdateSourceCodeInfo(google::protobuf::SourceCodeInfo*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:6707:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 6707 | if (loc->path_size() < pathv.size()) { | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor.cc:6710:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 6710 | for (int j = 0; j < pathv.size(); j++) { | ~~^~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::DescriptorPoolDatabase::FindAllExtensionNumbers(const std::string&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:937:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 937 | for (int i = 0; i < extensions.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindFileByName(const std::string&, google::protobuf::FileDescriptorProto*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:958:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 958 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindFileContainingSymbol(const std::string&, google::protobuf::FileDescriptorProto*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:968:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 968 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindFileContainingExtension(const std::string&, int, google::protobuf::FileDescriptorProto*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:990:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 990 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ [ 11%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx512_core_gemm_smalln_tn_f32_kern.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc: In member function ‘virtual bool google::protobuf::MergedDescriptorDatabase::FindAllExtensionNumbers(const std::string&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/descriptor_database.cc:1016:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1016 | for (int i = 0; i < sources_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8x7-sse2.c:23:50: warning: argument 7 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8x7-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:43:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 43 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:47:1: note: in expansion of macro ‘DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 47 | DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION(q8gavgpool_ukernel_up8x7__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:96:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 96 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/deconv-run.cc.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:97:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 97 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x4.c.o [ 11%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gavgpool/up8xm-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:98:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 98 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86assembler.cpp.o [ 11%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86builder.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8xm-sse2.c:23:50: warning: argument 7 of type ‘const union qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_avgpool_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gavgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:43:53: note: previously declared as ‘const union qnnp_avgpool_quantization_params *’ 43 | const union qnnp_avgpool_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gavgpool.h:48:1: note: in expansion of macro ‘DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 48 | DECLARE_Q8UPGAVGPOOL_UKERNEL_FUNCTION(q8gavgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-4x-scalar-c1.c.o [ 11%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gemm/2x4c8-sse2.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9p8x-scalar-c1.c.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9x-scalar-c1.c.o [ 11%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/WeakSymbols.cpp.o [ 11%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/extension_set_heavy.cc.o [ 11%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9p8x-minmax-scalar-c1.c.o [ 11%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-run.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-scalar-c1.c:23:44: warning: argument 11 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:69:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 69 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:72:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 72 | DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 11%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/field_mask.pb.cc.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-scalar-c1.c:22:44: warning: argument 10 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:90:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 90 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:93:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 93 | DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-unpack.cc.o [ 12%] Building CXX object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/fc-dynamic-run.cc.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-scalar-1x1.c:25:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-scalar-1x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:77:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 77 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object c10/CMakeFiles/c10.dir/core/impl/alloc_cpu.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/2x4c8-sse2.c:46:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 46 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/2x4c8-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:31:50: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 31 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:43:1: note: in expansion of macro ‘DECLARE_Q8GEMM_UKERNEL_FUNCTION’ 43 | DECLARE_Q8GEMM_UKERNEL_FUNCTION(q8gemm_ukernel_2x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc/f32-conv-hwc-3x3s2p0p1c3x4-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p0p1c3x4-scalar-1x1.c:25:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p0p1c3x4-scalar-1x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:36:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 36 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:52:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION’ 52 | DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION(xnn_f32_conv_hwc_ukernel_3x3s2p0p1c3x4__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/indirection.c.o [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/operator-run.c.o [ 12%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8gemm/4x4c2-sse2.c.o [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8lut32norm/scalar.c.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_an_kern_autogen.cpp.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc/f32-conv-hwc-3x3s2p1c3x4-scalar-1x1.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p1c3x4-scalar-1x1.c:25:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc/f32-conv-hwc-3x3s2p1c3x4-scalar-1x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:36:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 36 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:42:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION’ 42 | DECLARE_F32_CONV_HWC_UKERNEL_FUNCTION(xnn_f32_conv_hwc_ukernel_3x3s2p1c3x4__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1146:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1146 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86compiler.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/dynamic_message.cc: In destructor ‘virtual google::protobuf::DynamicMessage::~DynamicMessage()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/dynamic_message.cc:510:57: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 510 | if (*(reinterpret_cast(field_ptr)) == field->number()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_engine.cpp.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc3.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc4.c.o [ 12%] Generating src/x86_64-fma/2d-fourier-16x16.py.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1147:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1147 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1148:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1148 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_inner_product_list.cpp.o [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8lut/scalar.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/x8lut/scalar.c:16:19: warning: argument 3 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 16 | const uint8_t t[RESTRICT_STATIC 256], | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/x8lut/scalar.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/x8lut.h:23:50: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 23 | size_t n, const uint8_t* x, const uint8_t* t, uint8_t* y); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/x8lut.h:25:1: note: in expansion of macro ‘DECLARE_PYTORCH_X8LUT_UKERNEL_FUNCTION’ 25 | DECLARE_PYTORCH_X8LUT_UKERNEL_FUNCTION(pytorch_x8lut_ukernel__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1-acc2.c.o [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/sgemm/6x8-psimd.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1145:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1145 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1150:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1150 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86emithelper.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/4x4c2-sse2.c:23:47: warning: argument 9 of type ‘const union qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union qnnp_conv_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8gemm/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:31:50: note: previously declared as ‘const union qnnp_conv_quantization_params *’ 31 | const union qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8gemm.h:44:1: note: in expansion of macro ‘DECLARE_Q8GEMM_UKERNEL_FUNCTION’ 44 | DECLARE_Q8GEMM_UKERNEL_FUNCTION(q8gemm_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/sgemm/6x8-psimd.c:23:9: warning: argument 9 of type ‘const struct pytorch_qnnp_fp32_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const struct pytorch_qnnp_fp32_clamping_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | clamping_params[restrict static 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/sgemm/6x8-psimd.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/sgemm.h:30:55: note: previously declared as ‘const struct pytorch_qnnp_fp32_clamping_params *’ 30 | const struct pytorch_qnnp_fp32_clamping_params* clamping_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/sgemm.h:34:1: note: in expansion of macro ‘DECLARE_PYTORCH_SGEMM_UKERNEL_FUNCTION’ 34 | DECLARE_PYTORCH_SGEMM_UKERNEL_FUNCTION(pytorch_sgemm_ukernel_6x8__psimd) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-3x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1149:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1149 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1151:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1151 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8avgpool/mp8x9p8q-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/mp8x9p8q-sse2.c:26:9: warning: argument 10 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 26 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/mp8x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:33:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 32 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:36:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPAVGPOOL_UKERNEL_FUNCTION’ 36 | DECLARE_PYTORCH_Q8MPAVGPOOL_UKERNEL_FUNCTION(pytorch_q8avgpool_ukernel_mp8x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-4x1.c.o [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8avgpool/up8x9-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-4x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-4x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1152:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1152 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_4x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8x9-sse2.c:25:9: warning: argument 9 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8x9-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:49:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 48 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 49 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:53:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 53 | DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION(pytorch_q8avgpool_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/q8vadd/sse2.c.o [ 12%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8clamp/sse2.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-5x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8clamp/sse2.c:20:41: warning: argument 4 of type ‘const union qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8clamp/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8clamp.h:26:44: note: previously declared as ‘const union qnnp_u8_clamping_params *’ 26 | const union qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8clamp.h:29:1: note: in expansion of macro ‘DECLARE_U8CLAMP_UKERNEL_FUNCTION’ 29 | DECLARE_U8CLAMP_UKERNEL_FUNCTION(u8clamp_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-6x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-5x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-5x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1153:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1153 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_5x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8maxpool/16x9p8q-sse2.c.o [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8avgpool/up8xm-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-6x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-scalar-6x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1154:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1154 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__scalar_6x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_at_kern_autogen.cpp.o [ 12%] Built target fbgemm_avx512 /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/16x9p8q-sse2.c:24:41: warning: argument 8 of type ‘const union qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/16x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:30:44: note: previously declared as ‘const union qnnp_u8_clamping_params *’ 30 | const union qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:33:1: note: in expansion of macro ‘DECLARE_U8MAXPOOL_UKERNEL_FUNCTION’ 33 | DECLARE_U8MAXPOOL_UKERNEL_FUNCTION(u8maxpool_ukernel_16x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8conv/4x4c2-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8xm-sse2.c:25:9: warning: argument 9 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8avgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:49:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 48 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 49 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8avgpool.h:54:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION’ 54 | DECLARE_PYTORCH_Q8UPAVGPOOL_UKERNEL_FUNCTION(pytorch_q8avgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/mp8x25-sse2.c.o [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/mp8x25-sse2-per-channel.c.o [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/mp8x27-sse2.c.o [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/up8x9-sse2.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1235:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1235 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1237:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1237 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1236:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1236 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/cupti_strings.cpp.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/AbstractConfig.cpp.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1234:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1234 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8maxpool/sub16-sse2.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8vadd/sse2.c:21:46: warning: argument 5 of type ‘const union qnnp_add_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union qnnp_add_quantization_params quantization_params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/q8vadd/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8vadd.h:27:49: note: previously declared as ‘const union qnnp_add_quantization_params *’ 27 | const union qnnp_add_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/q8vadd.h:31:1: note: in expansion of macro ‘DECLARE_Q8VADD_UKERNEL_FUNCTION’ 31 | DECLARE_Q8VADD_UKERNEL_FUNCTION(q8vadd_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/sub16-sse2.c:24:41: warning: argument 8 of type ‘const union qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/u8maxpool/sub16-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:30:44: note: previously declared as ‘const union qnnp_u8_clamping_params *’ 30 | const union qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/QNNPACK/src/qnnpack/u8maxpool.h:35:1: note: in expansion of macro ‘DECLARE_U8MAXPOOL_UKERNEL_FUNCTION’ 35 | DECLARE_U8MAXPOOL_UKERNEL_FUNCTION(u8maxpool_ukernel_sub16__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1239:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1239 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/u8rmax/sse2.c.o [ 12%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/generated_message_reflection.cc.o [ 12%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/x2-sse2.c.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_bn_kern_autogen.cpp.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c.o [ 12%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/x3-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1238:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1238 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2-per-channel.c:23:9: warning: argument 9 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2-per-channel.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:52:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 52 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:58:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION’ 58 | DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling misc/shmutils.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/shmutils.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2.c:23:9: warning: argument 9 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x25-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:52:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 52 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:57:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION’ 57 | DECLARE_PYTORCH_Q8MPDWCONV_UKERNEL_FUNCTION(pytorch_q8dwconv_ukernel_mp8x25__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x27-sse2.c:26:9: warning: argument 11 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 26 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/mp8x27-sse2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:73:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 73 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:77:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPDWCONV_3D_UKERNEL_FUNCTION’ 77 | DECLARE_PYTORCH_Q8MPDWCONV_3D_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/convtranspose_fusion.cpp.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/eltwise_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8conv/4x4c2-sse2.c:25:9: warning: argument 10 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8conv/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8conv.h:32:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 32 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8conv.h:38:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8CONV_UKERNEL_FUNCTION’ 38 | DECLARE_PYTORCH_Q8CONV_UKERNEL_FUNCTION(pytorch_q8conv_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/x4-sse2.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-3x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2.c:23:9: warning: argument 8 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:30:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 30 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:38:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION’ 38 | DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION(pytorch_q8dwconv_ukernel_up8x9__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/sse2.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/ssse3.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1240:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1240 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/QNNPACK/CMakeFiles/qnnpack.dir/src/x8zip/xm-sse2.c.o [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8dwconv/up8x9-sse2-per-channel.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-4x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-4x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-scalar-4x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1241:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1241 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__scalar_4x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Linking C static library ../../lib/libqnnpack.a Compiling misc/profiler.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/profiler.o [ 12%] Built target qnnpack [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc2.c.o [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/CuptiActivityProfiler.cpp.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/logging.dir/src/enums/datatype-strings.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1310:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1310 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object c10/CMakeFiles/c10.dir/core/thread_pool.cpp.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/logging.dir/src/enums/microkernel-type.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/logging.dir/src/enums/node-type.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc3.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/logging.dir/src/enums/operator-type.c.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_layer_normalization_list.cpp.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_lrn_list.cpp.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_pooling_list.cpp.o [ 12%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_prelu_list.cpp.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/logging.dir/src/log.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1311:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1311 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/log.c:58:13: warning: ‘xnn_vlog’ defined but not used [-Wunused-function] 58 | static void xnn_vlog(int output_handle, const char* prefix, size_t prefix_length, const char* format, va_list args) { | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp: In member function ‘std::string libkineto::AbstractConfig::toLower(std::string&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp:74:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 74 | for (int i = 0; i < res.size(); i++) { | ~~^~~~~~~~~~~~ [ 12%] Built target logging /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp: In member function ‘bool libkineto::AbstractConfig::toBool(std::string&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp:122:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::array, 8>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 122 | for (int i = 0; i < bool_vals.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ActivityProfilerController.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:27:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1170:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1170 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:239:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 239 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:314:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 314 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:353:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 353 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:34:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 34 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:492:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 492 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:407:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 407 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:603:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 603 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:742:42: warning: argument 7 of type ‘const union xnn_x24_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 742 | const union xnn_x24_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/ssse3.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:143:45: note: previously declared as ‘const union xnn_x24_transpose_params *’ 143 | const union xnn_x24_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:155:1: note: in expansion of macro ‘DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION’ 155 | DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x24_transposec_ukernel__4x4_ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:41:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 41 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:30: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:42:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 42 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:217:36: warning: argument 4 of type ‘const union xnn_f16_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 217 | const union xnn_f16_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:24:39: note: previously declared as ‘const union xnn_f16_abs_params *’ 24 | const union xnn_f16_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:30:1: note: in expansion of macro ‘DECLARE_F16_VABS_UKERNEL_FUNCTION’ 30 | DECLARE_F16_VABS_UKERNEL_FUNCTION(xnn_f16_vabs_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:269:36: warning: argument 4 of type ‘const union xnn_f16_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 269 | const union xnn_f16_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:80:39: note: previously declared as ‘const union xnn_f16_neg_params *’ 80 | const union xnn_f16_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:87:1: note: in expansion of macro ‘DECLARE_F16_VNEG_UKERNEL_FUNCTION’ 87 | DECLARE_F16_VNEG_UKERNEL_FUNCTION(xnn_f16_vneg_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:999:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 999 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:117:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 117 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1355:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1355 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:178:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 178 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1492:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1492 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:251:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 251 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1629:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1629 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:143:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:1890:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1890 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:299:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 299 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2158:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2158 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:558:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 558 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2216:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2216 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:722:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 722 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1312:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1312 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2284:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2284 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:668:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 668 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2346:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2346 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:704:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 704 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2424:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2424 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:686:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 686 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2488:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2488 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:920:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 920 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:2716:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2716 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1036:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1036 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:3573:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3573 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:945:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 945 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:3770:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3770 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/generated_message_table_driven.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:959:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 959 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc5.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1-acc5.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1313:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1313 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2-per-channel.c:23:9: warning: argument 8 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8dwconv/up8x9-sse2-per-channel.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:30:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 30 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8dwconv.h:39:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION’ 39 | DECLARE_PYTORCH_Q8UPDWCONV_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4147:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4147 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1863:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1863 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4254:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4254 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1865:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1865 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4427:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4427 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1532:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1532 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4546:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4546 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1534:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1534 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:32:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:4727:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4727 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:50:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 50 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:795:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 795 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:164:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 164 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:121:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 121 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:418:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 418 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:183:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 183 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:550:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 550 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:561:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 561 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:604:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 604 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:724:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 724 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:650:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 650 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:670:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 670 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:696:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 696 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:706:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 706 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:742:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 742 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:688:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 688 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:5509:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5509 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:699:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 699 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:790:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 790 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:927:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 927 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:997:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 997 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1043:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1043 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:5853:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5853 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:359:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 359 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:5976:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5976 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:128:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6293:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6293 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:179:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 179 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6489:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6489 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1409:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1409 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6595:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6595 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1411:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1411 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:1804:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1804 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:946:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 946 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:1995:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1995 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:966:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 966 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6767:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6767 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1155:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1155 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:6885:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6885 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1157:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1157 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2354:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2354 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1867:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1867 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2460:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2460 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1869:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1869 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7060:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7060 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:29: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:123:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 123 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2629:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2629 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1536:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1536 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2747:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2747 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1538:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1538 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7175:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7175 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:178:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 178 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:2926:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2926 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:802:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 802 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7270:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7270 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:311:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 311 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7434:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7434 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:31:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 31 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:3682:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3682 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:706:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 706 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7627:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7627 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:105:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 105 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4016:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4016 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:362:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 362 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7735:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7735 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:134:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4093:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4093 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:132:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 132 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4351:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4351 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:183:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:7844:47: warning: argument 11 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7844 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:112:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 112 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:116:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 116 | DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9p8x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4516:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4516 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1417:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1417 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4621:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4621 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1419:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1419 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:8228:47: warning: argument 10 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8228 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:130:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 130 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:134:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 134 | DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4789:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4789 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1163:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1163 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:4906:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4906 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1165:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1165 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:8447:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8447 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:545:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 545 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5079:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5079 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:128:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5190:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5190 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:183:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5283:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5283 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:318:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 318 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5370:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5370 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:38:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 38 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:9302:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9302 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:536:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 536 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5477:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5477 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:109:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 109 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5605:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5605 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:138:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 138 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:5732:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5732 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:548:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 548 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:9671:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9671 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:452:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 452 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:9787:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9787 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:231:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:6585:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6585 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:539:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 539 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10101:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10101 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:282:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 282 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10296:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10296 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:832:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 832 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:6952:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6952 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:455:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 455 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10402:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10402 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:834:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 834 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7029:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7029 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:235:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10573:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10573 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:585:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7290:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7290 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:286:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 286 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10691:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10691 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:587:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7456:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7456 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:836:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 836 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7561:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7561 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:838:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 838 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10865:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10865 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:36:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7729:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7729 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:589:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 589 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:10978:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10978 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:74:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:7846:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7846 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:591:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 591 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11072:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11072 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:404:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 404 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8019:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8019 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11233:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11233 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8126:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8126 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:77:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 77 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/indirection.dir/src/indirection.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8217:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8217 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:411:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 411 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11422:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11422 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8304:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8304 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11532:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11532 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:68:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 68 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8411:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8411 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:43:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8539:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8539 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:72:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:11770:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11770 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:92:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:8830:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8830 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:93:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12034:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12034 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1133:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1133 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse41.c:9072:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9072 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1134:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1134 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse41_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12258:38: warning: argument 9 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12258 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:68:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 68 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:72:1: note: in expansion of macro ‘DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_u8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12539:38: warning: argument 4 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12539 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1143:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 1143 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1147:1: note: in expansion of macro ‘DECLARE_U8_VCLAMP_UKERNEL_FUNCTION’ 1147 | DECLARE_U8_VCLAMP_UKERNEL_FUNCTION(xnn_u8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:12615:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12615 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:26: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:195:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 195 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/sse2.c:13208:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 13208 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:230:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 230 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__16x16_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1309:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1309 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gavgpool/mp8x7p7q-sse2.c.o [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/mp8x7p7q-sse2.c:24:9: warning: argument 8 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 24 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/mp8x7p7q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:31:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 30 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 31 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:34:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8MPGAVGPOOL_UKERNEL_FUNCTION’ 34 | DECLARE_PYTORCH_Q8MPGAVGPOOL_UKERNEL_FUNCTION(pytorch_q8gavgpool_ukernel_mp8x7p7q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 12%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1315:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1315 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1316:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1316 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_2x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::ClearField(google::protobuf::Message*, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:857:42: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 857 | if (schema_.HasBitIndex(field) == -1) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::ListFieldsMayFailOnStripped(const google::protobuf::Message&, bool, std::vector*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:1082:57: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 1082 | if (oneof_case_array[containing_oneof->index()] == field->number()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:1085:50: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 1085 | } else if (has_bits && has_bits_indices[i] != -1) { | ~~~~~~~~~~~~~~~~~~~~^~~~~ [ 12%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/gzip_stream.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘bool google::protobuf::Reflection::HasBit(const google::protobuf::Message&, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:1975:34: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 1975 | if (schema_.HasBitIndex(field) != -1) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::SetBit(google::protobuf::Message*, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:2039:13: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 2039 | if (index == -1) return; | ~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘void google::protobuf::Reflection::ClearBit(google::protobuf::Message*, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:2051:13: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::uint32’ {aka ‘const unsigned int’} and ‘int’ [-Wsign-compare] 2051 | if (index == -1) return; | ~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc: In member function ‘bool google::protobuf::Reflection::HasOneofField(const google::protobuf::Message&, const google::protobuf::FieldDescriptor*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_reflection.cc:2085:60: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 2085 | return (GetOneofCase(message, field->containing_oneof()) == field->number()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gavgpool/up8x7-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8x7-sse2.c:23:9: warning: argument 7 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8x7-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:45:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 44 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:49:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 49 | DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION(pytorch_q8gavgpool_ukernel_up8x7__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/printer.cc.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1314:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1314 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1318:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1318 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_3x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gavgpool/up8xm-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8xm-sse2.c:23:9: warning: argument 7 of type ‘const union pytorch_qnnp_avgpool_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union pytorch_qnnp_avgpool_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gavgpool/up8xm-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:45:11: note: previously declared as ‘const union pytorch_qnnp_avgpool_quantization_params *’ 44 | const union pytorch_qnnp_avgpool_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gavgpool.h:50:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION’ 50 | DECLARE_PYTORCH_Q8UPGAVGPOOL_UKERNEL_FUNCTION(pytorch_q8gavgpool_ukernel_up8xm__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm/2x4c8-sse2.c.o [ 13%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmFP16.cc.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1317:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1317 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm/4x4c2-dq-sse2.c.o [ 13%] Built target indirection [ 13%] Building CXX object confu-deps/XNNPACK/CMakeFiles/jit.dir/src/jit/aarch32-assembler.cc.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1406:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1406 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1407:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1407 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc: In member function ‘void google::protobuf::io::Printer::FormatInternal(const std::vector >&, const std::map, std::__cxx11::basic_string >&, const char*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc:299:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 299 | if (arg_index != args.size()) { | ~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc: In member function ‘const char* google::protobuf::io::Printer::WriteVariable(const std::vector >&, const std::map, std::__cxx11::basic_string >&, const char*, int*, std::vector, std::__cxx11::basic_string > >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc:327:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 327 | if (idx < 0 || idx >= args.size()) { | ~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.cc:364:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 364 | if (idx >= args.size()) { | ~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_STRING; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:510:49: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven.cc:97:62: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 184 | if (*oneof_case == field_number) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h: In instantiation of ‘void google::protobuf::internal::ResetOneofField(const ParseTable&, int, google::protobuf::Arena*, google::protobuf::MessageLite*, google::protobuf::uint32*, google::protobuf::int64, const void*) [with ProcessingType field_type = google::protobuf::internal::ProcessingType_MESSAGE; google::protobuf::uint32 = unsigned int; google::protobuf::int64 = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:703:50: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamInlined(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler; unsigned int kMaxTag = 127]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:858:73: required from ‘bool google::protobuf::internal::MergePartialFromCodedStreamImpl(google::protobuf::MessageLite*, const ParseTable&, google::protobuf::io::CodedInputStream*) [with UnknownFieldHandler = {anonymous}::UnknownFieldHandler]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven.cc:97:62: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/generated_message_table_driven_lite.h:184:19: warning: comparison of integer expressions of different signedness: ‘google::protobuf::uint32’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] [ 13%] Building CXX object confu-deps/XNNPACK/CMakeFiles/jit.dir/src/jit/aarch64-assembler.cc.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c.o [ 13%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86formatter.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1408:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1408 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/2x4c8-sse2.c:52:9: warning: argument 10 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 51 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/2x4c8-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:32:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 32 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:44:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION’ 44 | DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION(pytorch_q8gemm_ukernel_2x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86func.cpp.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc: In member function ‘void xnnpack::aarch64::Assembler::ldr(xnnpack::aarch64::XRegister, xnnpack::aarch64::MemOperand)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc:285:60: warning: comparison of integer expressions of different signedness: ‘const int32_t’ {aka ‘const int’} and ‘unsigned int’ [-Wsign-compare] 285 | if (xn.mode != AddressingMode::kOffset || imm < 0 || imm > (kUint12Max << 3) || (imm & 7) != 0) { | ~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc: In member function ‘void xnnpack::aarch64::Assembler::str(xnnpack::aarch64::SRegister, xnnpack::aarch64::MemOperand)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/jit/aarch64-assembler.cc:644:22: warning: comparison of integer expressions of different signedness: ‘const int32_t’ {aka ‘const int’} and ‘unsigned int’ [-Wsign-compare] 644 | if (imm < 0 || imm > (kUint12Max << 2) || (imm & 0x3) != 0) { | ~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm/4x4c2-sse2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1-acc5.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1409:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1409 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-dq-sse2.c:26:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 26 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-dq-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:59:67: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 59 | const struct pytorch_qnnp_conv_dynamic_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:64:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_UKERNEL_FUNCTION’ 64 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_UKERNEL_FUNCTION(pytorch_q8gemm_dq_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c.o [ 13%] Building CXX object c10/CMakeFiles/c10.dir/mobile/CPUCachingAllocator.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-1x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1405:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1405 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/interpolate_fusion.cpp.o [ 13%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/layernorm_fusion.cpp.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c.o [ 13%] Building CXX object confu-deps/XNNPACK/CMakeFiles/jit.dir/src/jit/assembler.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1411:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1411 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_2x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling misc/param.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/param.o [ 13%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmFloat16Convert.cc.o [ 13%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/matmul_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-sse2.c:25:9: warning: argument 10 of type ‘const union pytorch_qnnp_conv_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union pytorch_qnnp_conv_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 25 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm/4x4c2-sse2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:32:58: note: previously declared as ‘const union pytorch_qnnp_conv_quantization_params *’ 32 | const union pytorch_qnnp_conv_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm.h:45:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION’ 45 | DECLARE_PYTORCH_Q8GEMM_UKERNEL_FUNCTION(pytorch_q8gemm_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c.o [ 13%] Built target jit [ 13%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/pool_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1-acc3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1412:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1412 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_2x1_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ActivityProfilerProxy.cpp.o [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c.o Compiling net.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/net.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-2x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1410:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1410 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_2x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1414:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1414 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_3x1_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1.c:24:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-scalar-3x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1413:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1413 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__scalar_3x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/io/tokenizer.cc.o [ 13%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmI64.cc.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar-acc2.c.o [ 13%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ActivityType.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:391:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 391 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object c10/CMakeFiles/c10.dir/mobile/CPUProfilingAllocator.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c:3: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:44:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 43 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:11: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:78:11: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 77 | const struct pytorch_qnnp_conv_dynamic_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:121:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION’ 121 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c:9: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:44:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 43 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:78:11: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 77 | const struct pytorch_qnnp_conv_dynamic_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:124:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION’ 124 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8gemm_sparse/8x4c1x4-dq-packedA-sse2.h:44:9: warning: argument 11 of type ‘const struct pytorch_qnnp_conv_dynamic_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 43 | const struct pytorch_qnnp_conv_dynamic_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:78:11: note: previously declared as ‘const struct pytorch_qnnp_conv_dynamic_quantization_params *’ 77 | const struct pytorch_qnnp_conv_dynamic_quantization_params* \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | quantization_params); | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8gemm_sparse.h:127:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION’ 127 | DECLARE_PYTORCH_Q8GEMM_DYNAMIC_QUANTIZATION_SPARSE_PACKEDA_UKERNEL_FUNCTION( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:390:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 390 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:386:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 386 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:385:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 385 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:393:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 393 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:392:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 392 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc: In static member function ‘static bool google::protobuf::io::Tokenizer::ParseInteger(const std::string&, google::protobuf::uint64, google::protobuf::uint64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:891:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘google::protobuf::uint64’ {aka ‘long unsigned int’} [-Wsign-compare] 891 | if (digit > max_value || result > (max_value - digit) / base) { | ~~~~~~^~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.h:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:91: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc: In static member function ‘static double google::protobuf::io::Tokenizer::ParseFloat(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:921:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 921 | GOOGLE_LOG_IF(DFATAL, end - start != text.size() || *start == '-') | ~~~~~~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc: In instantiation of ‘bool google::protobuf::io::AllInClass(const std::string&) [with CharacterClass = {anonymous}::Alphanumeric; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:1126:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/tokenizer.cc:1116:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1116 | for (int i = 0; i < s.size(); ++i) { | ~~^~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:388:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 388 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8gemm_sparse/8x4-packA-sse2.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:387:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 387 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_3p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Config.cpp.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:401:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 401 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object c10/CMakeFiles/c10.dir/util/Array.cpp.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:400:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 400 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar-acc2.c.o [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/q8vadd/sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:396:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 396 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:395:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 395 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:403:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 403 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:402:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 402 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:398:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 398 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:397:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 397 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_4p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:411:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 411 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microparams-init.dir/src/microparams-init.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:410:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 410 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86instdb.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:1553:37: warning: argument 1 of type ‘union xnn_f32_scaleminmax_params *’ declared as a pointer [-Warray-parameter=] 1553 | union xnn_f32_scaleminmax_params* params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:259:38: note: previously declared as an array ‘union xnn_f32_scaleminmax_params[static 1]’ 259 | union xnn_f32_scaleminmax_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:262:1: note: in expansion of macro ‘DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION’ 262 | DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION(xnn_update_f32_scaleminmax_scalar_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:1561:37: warning: argument 1 of type ‘union xnn_f32_scaleminmax_params *’ declared as a pointer [-Warray-parameter=] 1561 | union xnn_f32_scaleminmax_params* params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:259:38: note: previously declared as an array ‘union xnn_f32_scaleminmax_params[static 1]’ 259 | union xnn_f32_scaleminmax_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:264:3: note: in expansion of macro ‘DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION’ 264 | DECLARE_UPDATE_F32_SCALEMINMAX_PARAMS_FUNCTION(xnn_update_f32_scaleminmax_sse_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:4144:29: warning: argument 1 of type ‘union xnn_f32_chw_params *’ declared as a pointer [-Warray-parameter=] 4144 | union xnn_f32_chw_params* params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:699:30: note: previously declared as an array ‘union xnn_f32_chw_params[static 1]’ 699 | union xnn_f32_chw_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:707:3: note: in expansion of macro ‘DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION’ 707 | DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION(xnn_update_f32_chw_sse_stride1_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/microparams-init.c:4155:29: warning: argument 1 of type ‘union xnn_f32_chw_params *’ declared as a pointer [-Warray-parameter=] 4155 | union xnn_f32_chw_params* params, | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:699:30: note: previously declared as an array ‘union xnn_f32_chw_params[static 1]’ 699 | union xnn_f32_chw_params params[XNN_MIN_ELEMENTS(1)], \ | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/microparams-init.h:708:3: note: in expansion of macro ‘DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION’ 708 | DECLARE_UPDATE_F32_CHW_PARAMS_FUNCTION(xnn_update_f32_chw_sse_stride2_params) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object c10/CMakeFiles/c10.dir/util/Backtrace.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:406:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 406 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object c10/CMakeFiles/c10.dir/util/C++17.cpp.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8vadd/sse2.c:21:9: warning: argument 5 of type ‘const union pytorch_qnnp_add_quantization_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union pytorch_qnnp_add_quantization_params | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 21 | quantization_params[RESTRICT_STATIC 1]) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/q8vadd/sse2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8vadd.h:27:57: note: previously declared as ‘const union pytorch_qnnp_add_quantization_params *’ 27 | const union pytorch_qnnp_add_quantization_params* quantization_params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/q8vadd.h:30:1: note: in expansion of macro ‘DECLARE_PYTORCH_Q8VADD_UKERNEL_FUNCTION’ 30 | DECLARE_PYTORCH_Q8VADD_UKERNEL_FUNCTION(pytorch_q8vadd_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:405:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 405 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/normalization.dir/src/normalization.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c.o [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8clamp/sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:413:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 413 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8clamp/sse2.c:19:49: warning: argument 4 of type ‘const union pytorch_qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 19 | const union pytorch_qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8clamp/sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8clamp.h:26:52: note: previously declared as ‘const union pytorch_qnnp_u8_clamping_params *’ 26 | const union pytorch_qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8clamp.h:29:1: note: in expansion of macro ‘DECLARE_PYTORCH_U8CLAMP_UKERNEL_FUNCTION’ 29 | DECLARE_PYTORCH_U8CLAMP_UKERNEL_FUNCTION(pytorch_u8clamp_ukernel__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8maxpool/16x9p8q-sse2.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c.o [ 13%] Built target normalization [ 13%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_f32_copy_bt_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/16x9p8q-sse2.c:23:49: warning: argument 8 of type ‘const union pytorch_qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union pytorch_qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/16x9p8q-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:30:52: note: previously declared as ‘const union pytorch_qnnp_u8_clamping_params *’ 30 | const union pytorch_qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:33:1: note: in expansion of macro ‘DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION’ 33 | DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION(pytorch_u8maxpool_ukernel_16x9p8q__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:412:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 412 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.cpp:17: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Address]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar-acc2.c.o [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8maxpool/sub16-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:408:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 408 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/sub16-sse2.c:23:49: warning: argument 8 of type ‘const union pytorch_qnnp_u8_clamping_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union pytorch_qnnp_u8_clamping_params params[RESTRICT_STATIC 1]) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/u8maxpool/sub16-sse2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:30:52: note: previously declared as ‘const union pytorch_qnnp_u8_clamping_params *’ 30 | const union pytorch_qnnp_u8_clamping_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/qnnpack/src/qnnpack/u8maxpool.h:35:1: note: in expansion of macro ‘DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION’ 35 | DECLARE_PYTORCH_U8MAXPOOL_UKERNEL_FUNCTION(pytorch_u8maxpool_ukernel_sub16__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmSparseDense.cc.o [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/u8rmax/sse2.c.o Compiling debug.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/debug.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar.c.o [ 13%] Building CXX object c10/CMakeFiles/c10.dir/util/DeadlockDetection.cpp.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:407:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 407 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/x2-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:421:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 421 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 13%] Building CXX object c10/CMakeFiles/c10.dir/util/Exception.cpp.o [ 13%] Building CXX object c10/CMakeFiles/c10.dir/util/Half.cpp.o [ 13%] Built target dnnl_graph_common [ 13%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/x3-sse2.c.o [ 13%] Building C object confu-deps/XNNPACK/CMakeFiles/packing.dir/src/packing.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:420:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 420 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/x4-sse2.c.o [ 14%] Building C object confu-deps/pytorch_qnnpack/CMakeFiles/pytorch_qnnpack.dir/src/x8zip/xm-sse2.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar-acc2.c.o [ 14%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86instapi.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:416:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 416 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p1c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Linking CXX static library ../../lib/libpytorch_qnnpack.a [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/f16c.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar.c.o [ 14%] Built target pytorch_qnnpack /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p1c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:415:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 415 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86operand.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar-acc2.c.o [ 14%] Built target microparams-init [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/map_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar-acc2.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:423:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 423 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar.c.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/LeftRight.cpp.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:422:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 422 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:32:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:60:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 60 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:170:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 170 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:252:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 252 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:612:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 612 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:173:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 173 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:767:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 767 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:202:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 202 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:946:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 946 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:233:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 233 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1239:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1239 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:128:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 128 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:34:44: warning: argument 11 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:34:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 34 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:36:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 36 | DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1507:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1507 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:252:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 252 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1599:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1599 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:257:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 257 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1817:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1817 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:166:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 166 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:1922:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1922 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:171:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 171 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:365:44: warning: argument 10 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 365 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:51:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 51 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:53:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:536:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 536 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:70:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 70 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2287:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2287 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:188:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 188 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:590:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 590 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:75:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 75 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2393:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2393 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:256:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 256 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:766:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 766 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:96:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 96 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2500:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2500 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:329:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 329 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:884:39: warning: argument 9 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 884 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f16_maxpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2576:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2576 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:531:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 531 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2650:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2650 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2726:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2726 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:554:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 554 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1329:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1329 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:84:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vadd_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2800:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2800 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:187:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 187 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1411:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1411 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:149:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vaddc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2865:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2865 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:469:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 469 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1488:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1488 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:85:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 85 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdiv_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1548:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1548 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:150:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2928:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2928 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:210:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 210 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1606:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1606 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:55:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 55 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:2993:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2993 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:492:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 492 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1677:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1677 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:110:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 110 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmaxc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3056:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3056 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:375:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 375 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1743:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1743 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:57:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 57 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmin_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1814:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1814 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:112:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 112 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vminc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3132:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3132 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:600:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 600 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1880:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1880 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:88:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 88 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmul_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3206:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3206 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:577:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 577 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:1962:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1962 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:153:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3280:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3280 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:646:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 646 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2039:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2039 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:154:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2097:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2097 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:157:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 157 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3354:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3354 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:233:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 233 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2174:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2174 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:59:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 59 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiff_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3423:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3423 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:515:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 515 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2249:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2249 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:114:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 114 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiffc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3490:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3490 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:398:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 398 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2319:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2319 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:90:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsub_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3566:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3566 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:623:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 623 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2401:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2401 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:159:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 159 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3639:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3639 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2477:39: warning: argument 4 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2477 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:38:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 38 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:44:1: note: in expansion of macro ‘DECLARE_F16_VCLAMP_UKERNEL_FUNCTION’ 44 | DECLARE_F16_VCLAMP_UKERNEL_FUNCTION(xnn_f16_vclamp_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2539:39: warning: argument 4 of type ‘const union xnn_f16_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2539 | const union xnn_f16_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:66:42: note: previously declared as ‘const union xnn_f16_hswish_params *’ 66 | const union xnn_f16_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:72:1: note: in expansion of macro ‘DECLARE_F16_VHSWISH_UKERNEL_FUNCTION’ 72 | DECLARE_F16_VHSWISH_UKERNEL_FUNCTION(xnn_f16_vhswish_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3704:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3704 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:328:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 328 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2616:38: warning: argument 4 of type ‘const union xnn_f16_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2616 | const union xnn_f16_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:534:41: note: previously declared as ‘const union xnn_f16_lrelu_params *’ 534 | const union xnn_f16_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:540:1: note: in expansion of macro ‘DECLARE_F16_VLRELU_UKERNEL_FUNCTION’ 540 | DECLARE_F16_VLRELU_UKERNEL_FUNCTION(xnn_f16_vlrelu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2678:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2678 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:113:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 113 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndd_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3919:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3919 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:508:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 508 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2734:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2734 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:98:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 98 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndne_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2790:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2790 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:108:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 108 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:3999:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3999 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2846:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2846 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:103:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 103 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndz_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4060:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4060 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:711:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 711 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2902:37: warning: argument 4 of type ‘const union xnn_f16_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2902 | const union xnn_f16_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:190:40: note: previously declared as ‘const union xnn_f16_sqrt_params *’ 190 | const union xnn_f16_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:204:1: note: in expansion of macro ‘DECLARE_F16_VSQRT_UKERNEL_FUNCTION’ 204 | DECLARE_F16_VSQRT_UKERNEL_FUNCTION(xnn_f16_vsqrt_ukernel__f16c_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2942:40: warning: argument 4 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2942 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:176:43: note: previously declared as ‘const union xnn_f16_default_params *’ 176 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:182:1: note: in expansion of macro ‘DECLARE_F16_VSQR_UKERNEL_FUNCTION’ 182 | DECLARE_F16_VSQR_UKERNEL_FUNCTION(xnn_f16_vsqr_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4117:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4117 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:657:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 657 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/f16c.c:2994:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2994 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:132:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 132 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4174:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4174 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:693:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 693 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4231:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4231 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:675:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 675 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4288:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4288 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:948:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 948 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4541:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4541 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:764:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 764 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4584:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4584 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:222:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 222 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4640:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4640 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:605:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 605 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4696:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4696 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1111:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1111 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:4757:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4757 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1055:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1055 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:5715:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5715 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:947:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 947 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:5947:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5947 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:978:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 978 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6377:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6377 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1887:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1887 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6479:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6479 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1888:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1888 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6613:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6613 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1556:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1556 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6727:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6727 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1557:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1557 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:6870:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6870 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:810:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 810 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:7823:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7823 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:714:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 714 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8242:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8242 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:369:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 369 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8334:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8334 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1441:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1441 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8435:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8435 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1442:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1442 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8568:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8568 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1187:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1187 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8681:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8681 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1188:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1188 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8818:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8818 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:143:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8906:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8906 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:198:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 198 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:8984:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8984 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:322:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 322 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9071:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9071 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:42:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 42 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9172:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9172 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:112:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 112 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9300:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9300 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:141:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:9427:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 9427 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:552:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 552 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:10526:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10526 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:543:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 543 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:10995:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 10995 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:462:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 462 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11087:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11087 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:856:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 856 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11189:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11189 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:857:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 857 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11323:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11323 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:609:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 609 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11437:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11437 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:610:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11575:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11575 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:48:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 48 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11663:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11663 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11741:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11741 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:415:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 415 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11828:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11828 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:97:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 97 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:11929:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 11929 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:46:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 46 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12057:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12057 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:75:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 75 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12181:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 12181 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:132:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 132 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:12414:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 12414 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:45:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 45 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar-acc2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:418:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 418 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p2c__scalar_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/message.cc.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/Logging.cpp.o [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/reflection_ops.cc.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_reduction_list.cpp.o [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/service.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p2c-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:33:41: note: previously declared as ‘const union xnn_f32_default_params *’ 33 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:417:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION’ 417 | DECLARE_F32_DWCONV_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_ukernel_25p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:147:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 147 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x2.c.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/FbgemmI8Spmdm.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:148:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 148 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x3.c.o [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/MathConstants.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:149:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 149 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-bitcast-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:150:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 150 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_bitcast_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/xop.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x1.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:152:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 152 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:153:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 153 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/source_context.pb.cc.o Compiling group.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/group.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x3.c.o [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/struct.pb.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x3.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:154:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 154 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/stubs/substitute.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x4.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-scalar-fabsf-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:155:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 155 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__scalar_fabsf_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/Metaprogramming.cpp.o [ 14%] Building CXX object third_party/fbgemm/asmjit/CMakeFiles/asmjit.dir/src/asmjit/x86/x86rapass.cpp.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_gemm_f32.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool-cw/f32-gavgpool-cw-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-scalar-x1.c:17:41: warning: argument 5 of type ‘const union xnn_f32_gavgpool_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 17 | const union xnn_f32_gavgpool_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-scalar-x1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:314:44: note: previously declared as ‘const union xnn_f32_gavgpool_params *’ 314 | const union xnn_f32_gavgpool_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:317:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION’ 317 | DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION(xnn_f32_gavgpool_cw_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c:20:44: warning: argument 8 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:31:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 31 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:34:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 34 | DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7p7x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/fma3.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7x-minmax-scalar-c1.c.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelDirectConvU8S8S32ACC32.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-scalar-c1.c:19:44: warning: argument 7 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 19 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:49:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 49 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:52:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 52 | DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1058:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1058 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:991:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 991 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:949:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 949 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1223:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1223 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:981:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 981 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1653:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1653 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1875:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1875 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1759:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1759 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1876:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1876 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:1897:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1897 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1544:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1544 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:2015:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2015 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1545:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1545 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:2162:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2162 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:813:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 813 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3115:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3115 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:717:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 717 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3540:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3540 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1425:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1425 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3645:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3645 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1426:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1426 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3782:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3782 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1171:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1171 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:3899:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3899 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1172:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1172 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4040:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4040 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:148:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4128:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4128 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:203:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 203 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4212:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4212 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:621:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:4944:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4944 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:561:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 561 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5276:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5276 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:844:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 844 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5381:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5381 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:845:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 845 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5518:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5518 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:597:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 597 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5635:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5635 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:598:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 598 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5776:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5776 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:51:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::Merge(const google::protobuf::Message&, google::protobuf::Message*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:89:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 89 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/xop.c:5864:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5864 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::Clear(google::protobuf::Message*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:184:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 184 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static bool google::protobuf::internal::ReflectionOps::IsInitialized(const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:274:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::DiscardUnknownFields(google::protobuf::Message*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:333:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 333 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc: In static member function ‘static void google::protobuf::internal::ReflectionOps::FindInitializationErrors(const google::protobuf::Message&, const std::string&, std::vector >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/reflection_ops.cc:405:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 405 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:459:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 459 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x4-scalar.c.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_gemv_t_f32_kern.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/substitute.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/substitute.cc: In function ‘void google::protobuf::strings::SubstituteAndAppend(std::string*, const char*, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&, const internal::SubstituteArg&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:183:50: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 183 | #define GOOGLE_DCHECK_EQ(A, B) GOOGLE_DCHECK((A) == (B)) | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:151:5: note: in definition of macro ‘GOOGLE_LOG_IF’ 151 | !(CONDITION) ? (void)0 : GOOGLE_LOG(LEVEL) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:181:48: note: in expansion of macro ‘GOOGLE_CHECK’ 181 | #define GOOGLE_DCHECK(EXPRESSION) while(false) GOOGLE_CHECK(EXPRESSION) | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/logging.h:183:32: note: in expansion of macro ‘GOOGLE_DCHECK’ 183 | #define GOOGLE_DCHECK_EQ(A, B) GOOGLE_DCHECK((A) == (B)) | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/stubs/substitute.cc:133:3: note: in expansion of macro ‘GOOGLE_DCHECK_EQ’ 133 | GOOGLE_DCHECK_EQ(target - output->data(), output->size()); | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:454:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 454 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:449:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 449 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-2x4-minmax-scalar.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-2x4-relu-scalar.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-2x4-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:460:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 460 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:450:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 450 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-2x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:455:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 455 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2-minmax-scalar.c.o [ 14%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernel.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2-relu-scalar.c.o [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/text_format.cc.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2-scalar.c.o [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/timestamp.pb.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:461:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 461 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:456:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 456 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:451:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 451 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Built target packing [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx2.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx512f.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:31:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:496:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 496 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/Optional.cpp.o [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_b0_sgemm_kern_part1_autogen.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/allocator.dir/src/allocator.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:503:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 503 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:479:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 479 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:662:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 662 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:485:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 485 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:846:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 846 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:491:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 491 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1242:39: warning: argument 8 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1242 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:68:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 68 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:73:1: note: in expansion of macro ‘DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 73 | DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulcaddc_minmax_ukernel_c8__fma3_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1359:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1359 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:254:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 254 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1801:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1801 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:177:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 177 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:1956:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1956 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:206:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 206 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2135:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2135 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:237:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 237 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2434:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2434 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:262:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 262 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2526:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2526 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:272:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 272 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2683:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2683 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:274:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 274 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:2999:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2999 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:267:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 267 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3217:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3217 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:176:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 176 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3322:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3322 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:186:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 186 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3493:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3493 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:188:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 188 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:3829:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3829 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:181:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 181 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:4058:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4058 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/fma3.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:511:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 511 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__fma3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-minmax-scalar.c:26:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:462:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 462 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Built target allocator [ 14%] Building CXX object c10/CMakeFiles/c10.dir/util/SmallVector.cpp.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x4-relu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-relu-scalar.c:26:37: warning: argument 10 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:135:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 135 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:457:1: note: in expansion of macro ‘DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION’ 457 | DECLARE_F32_GEMM_RELU_UKERNEL_FUNCTION(xnn_f32_gemm_relu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x4-scalar.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Ymm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-scalar.c:26:40: warning: argument 10 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:122:43: note: previously declared as ‘const union xnn_f32_default_params *’ 122 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:452:1: note: in expansion of macro ‘DECLARE_F32_GEMM_UKERNEL_FUNCTION’ 452 | DECLARE_F32_GEMM_UKERNEL_FUNCTION(xnn_f32_gemm_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x4-minmax-scalar.c:27:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:667:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 667 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-2x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:31:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:264:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 264 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:461:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 461 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:175:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 175 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:561:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 561 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:204:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 204 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:676:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 676 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:235:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:866:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 866 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:277:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 277 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:933:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 933 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:281:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 281 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1098:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1098 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:191:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 191 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1179:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1179 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:195:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 195 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1441:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1441 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:331:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 331 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1505:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1505 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:533:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 533 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1567:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1567 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:354:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 354 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1631:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1631 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:556:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 556 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1693:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1693 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:189:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 189 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1746:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1746 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:471:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 471 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1797:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1797 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:212:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 212 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1850:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1850 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:494:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 494 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1901:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1901 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:377:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 377 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:1965:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1965 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2027:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2027 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:579:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 579 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2089:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2089 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:648:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 648 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2151:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2151 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:235:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 235 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2208:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2208 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:517:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 517 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2263:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2263 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:400:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 400 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-2x4-minmax-scalar.c:27:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-2x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:668:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 668 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2327:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2327 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:625:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 625 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2388:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2388 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:244:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 244 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2427:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2427 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:393:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 393 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2596:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2596 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:513:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 513 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2638:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2638 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:566:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 566 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2677:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2677 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:712:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 712 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2710:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2710 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:658:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 658 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2743:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2743 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:694:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 694 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2776:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2776 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:676:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 676 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2809:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2809 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1027:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1027 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:2969:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2969 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:224:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 224 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:3003:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3003 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:607:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 607 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512f.c:3037:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3037 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1113:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1113 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:37:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 37 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:101:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 101 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:129:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 129 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:104:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 104 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:316:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 316 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:413:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 413 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:422:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 422 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:416:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 416 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:627:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 627 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 34 | DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9p8x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/type.pb.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:960:39: warning: argument 11 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 960 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:50:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 50 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:52:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 52 | DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1135:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1135 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:30:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 30 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1309:36: warning: argument 4 of type ‘const union xnn_f16_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1309 | const union xnn_f16_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:52:39: note: previously declared as ‘const union xnn_f16_elu_params *’ 52 | const union xnn_f16_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:58:1: note: in expansion of macro ‘DECLARE_F16_VELU_UKERNEL_FUNCTION’ 58 | DECLARE_F16_VELU_UKERNEL_FUNCTION(xnn_f16_velu_ukernel__avx2_rr1_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1438:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1438 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:137:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 137 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1605:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1605 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:193:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 193 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1731:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1731 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:261:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 261 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:1857:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1857 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:2096:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2096 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:959:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 959 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:2305:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2305 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1082:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1082 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:2911:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2911 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:948:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 948 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/unknown_field_set.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3077:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3077 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1005:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1005 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/delimited_message_util.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3363:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3363 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1895:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1895 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3495:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3495 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1897:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1897 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3697:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3697 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1564:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1564 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:3842:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3842 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1566:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1566 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:4055:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4055 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:837:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 837 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:4658:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4658 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:741:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 741 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x4-minmax-scalar.c:27:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:669:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 669 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:4935:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4935 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:372:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 372 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5010:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5010 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1509:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1509 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5141:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5141 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1511:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1511 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5342:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5342 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1195:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1195 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5486:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5486 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1197:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1197 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5693:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5693 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:154:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5784:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5784 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:209:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 209 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5865:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5865 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:325:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 325 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:5949:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5949 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:45:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 45 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:6048:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6048 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:624:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:6652:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6652 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:564:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 564 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:6930:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 6930 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:465:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 465 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7005:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7005 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:864:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 864 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7137:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7137 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:866:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 866 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7339:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7339 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:617:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 617 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7484:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7484 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:619:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 619 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7692:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7692 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:55:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 55 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_resampling_list.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7783:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7783 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7864:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7864 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:418:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 418 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:7948:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 7948 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:100:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 100 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:8044:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8044 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:202:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 202 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__16x16_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:8656:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 8656 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:50:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 50 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx2.c:8944:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 8944 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:237:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 237 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__32x32_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p1.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p2.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-scalar-p4.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c1.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c2.c.o [ 14%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-scalar-c4.c.o [ 15%] Building CXX object c10/CMakeFiles/c10.dir/util/StringUtil.cpp.o [ 15%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_rnn_list.cpp.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:373:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 373 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx512skx.c.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:368:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 368 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x4-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘google::protobuf::TextFormat::ParseLocation google::protobuf::TextFormat::ParseInfoTree::GetLocation(const google::protobuf::FieldDescriptor*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:164:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 164 | if (locations == nullptr || index >= locations->size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘google::protobuf::TextFormat::ParseInfoTree* google::protobuf::TextFormat::ParseInfoTree::GetTreeForNested(const google::protobuf::FieldDescriptor*, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:179:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 179 | if (it == nested_.end() || index >= it->second.size()) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::TextGenerator::Write(const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:1303:17: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 1303 | while (size > buffer_size_) { | ~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:363:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 363 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-2x4-minmax-scalar.c.o [ 15%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_b0_sgemm_kern_part2_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::Print(const google::protobuf::Message&, TextGenerator*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:2034:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2034 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:374:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 374 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::PrintField(const google::protobuf::Message&, const google::protobuf::Reflection*, const google::protobuf::FieldDescriptor*, TextGenerator*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:2294:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2294 | for (int j = 0; j < sorted_map_field.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc: In member function ‘void google::protobuf::TextFormat::Printer::PrintFieldValue(const google::protobuf::Message&, const google::protobuf::Reflection*, const google::protobuf::FieldDescriptor*, int, TextGenerator*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/text_format.cc:2375:46: warning: comparison of integer expressions of different signedness: ‘const google::protobuf::int64’ {aka ‘const long int’} and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2375 | truncate_string_field_longer_than_ < value.size()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Xmm; T_desta = Xbyak::Xmm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc: In member function ‘size_t google::protobuf::UnknownFieldSet::SpaceUsedExcludingSelfLong() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc:111:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (int i = 0; i < fields_.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc: In member function ‘void google::protobuf::UnknownFieldSet::DeleteSubrange(int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc:187:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 187 | for (int i = start + num; i < fields_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc: In member function ‘void google::protobuf::UnknownFieldSet::DeleteByNumber(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/unknown_field_set.cc:198:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 198 | for (int i = 0; i < fields_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-2x4-relu-scalar.c.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-2x4-scalar.c.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/amalgam/avx512vbmi.c.o [ 15%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ConfigLoader.cpp.o Compiling transport/p2p.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/p2p.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:369:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 369 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/field_comparator.cc.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2-k-over-64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-2x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:364:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 364 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2-k-over-2048.c.o [ 15%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/DaemonConfigLoader.cpp.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2-minmax-scalar.c.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2-relu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:25:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:72:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 72 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:58:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 58 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:134:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 134 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:91:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 91 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:198:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 198 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:209:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 209 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:266:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 266 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:333:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 333 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1087:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1087 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:939:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 939 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:950:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 950 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1105:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1105 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1010:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1010 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_sgemm_kern_part1_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1391:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1391 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1903:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1903 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1490:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1490 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1906:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1906 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1677:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1677 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1568:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1568 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1787:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1787 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1571:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1571 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:1984:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 1984 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:842:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 842 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:2587:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2587 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:746:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 746 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:2864:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2864 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:377:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 377 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:2929:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 2929 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1517:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1517 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3026:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3026 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1520:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1520 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3211:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3211 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1199:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1199 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3319:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3319 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1202:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1202 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_avx_kernel_sgemm_kern_part2_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3509:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3509 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:158:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3575:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3575 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:213:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 213 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:3640:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 3640 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:628:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 628 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:375:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 375 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4244:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4244 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:568:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 568 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4522:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4522 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:370:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 370 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:470:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 470 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4587:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4587 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:868:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 868 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4685:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4685 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:871:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 871 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4871:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4871 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:621:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:4980:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 4980 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:624:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:5171:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5171 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:57:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 57 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:5237:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 5237 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:95:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 95 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:5296:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 5296 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512skx.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:52:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 52 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2-scalar.c.o [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/memory.dir/src/memory.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:365:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 365 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512vbmi.c:19:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 19 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/amalgam/avx512vbmi.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:58:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 58 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x4-minmax-scalar.c.o [ 15%] Built target memory [ 15%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x4-relu-scalar.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-minmax-scalar.c:28:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-minmax-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:376:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 376 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-relu-scalar.c:28:37: warning: argument 12 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-relu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:50:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 50 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:371:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION’ 371 | DECLARE_F32_IGEMM_RELU_UKERNEL_FUNCTION(xnn_f32_igemm_relu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-8.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x4-scalar.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-16.c.o [ 16%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC16.cc.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-maxpool/f32-maxpool-9p8x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-scalar.c:28:40: warning: argument 12 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x4-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:35:43: note: previously declared as ‘const union xnn_f32_default_params *’ 35 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:366:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_UKERNEL_FUNCTION’ 366 | DECLARE_F32_IGEMM_UKERNEL_FUNCTION(xnn_f32_igemm_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-scalar-c1.c:21:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:48:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 48 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:51:1: note: in expansion of macro ‘DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f32_maxpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-scalar-c1.c:24:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:69:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 69 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:72:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 72 | DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object c10/CMakeFiles/c10.dir/util/ThreadLocalDebugInfo.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/engine_id.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/engine.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_engine.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_list.cpp:17: In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:789:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:792:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9x-minmax-scalar-c1.c.o [ 16%] Generating src/x86_64-fma/2d-winograd-8x8-3x3.py.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-scalar-c1.c:23:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-scalar-c1.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:91:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 91 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:94:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 94 | DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_shuffle_list.cpp.o [ 16%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_softmax_list.cpp.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-2x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-2x4-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-2x4-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:42:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-3x3-minmax-scalar.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-4x2-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-3x3-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-3x3-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:43:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_3x3__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x2-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x2-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:44:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 44 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-4x4-minmax-scalar.c.o [ 16%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/quantize_fusion.cpp.o [ 16%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/reduction_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x4-minmax-scalar.c:25:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x4-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:45:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 45 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-scalar-2x1.c.o [ 16%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/reorder_fusion.cpp.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-scalar-2x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:12, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/DaemonConfigLoader.cpp:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘auto dynolog::ipcfabric::EndPoint::buildCtxt_(const std::vector&, unsigned int) [with long unsigned int kMaxNumFds = 0]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:116:17: required from ‘auto dynolog::ipcfabric::EndPoint::buildSendCtxt(const std::string&, const std::vector&, const std::vector&) [with long unsigned int kMaxNumFds = 0; std::string = std::__cxx11::basic_string]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:126:36: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:238:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 238 | for (int i = 0; i < payload.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x1.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Zmm; T_srca = Xbyak::Address; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:215:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 215 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryPeekMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:155:33: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:174:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 174 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:216:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 216 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘const char* dynolog::ipcfabric::EndPoint::getName(const TCtxt&) const [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:170:43: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:185:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 185 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 186 | "Unexpected socket name: " + std::string(ctxt.msg_name.sun_path) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 187 | ". Expected to start with " + std::string(socket_dir)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:192:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 192 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | "Expected abstract socket, got " + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | std::string(ctxt.msg_name.sun_path)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryRcvMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:178:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:160:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 160 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:217:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 217 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/mutex.dir/src/mutex.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x4.c.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-fmagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:218:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 218 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_fmagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:220:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 220 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 16%] Built target mutex [ 16%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/shuffle_fusion.cpp.o [ 16%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x2.c.o [ 16%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/single_op_pattern.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:221:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 221 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:222:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 222 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-imagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:223:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 223 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_imagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:225:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 225 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:226:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 226 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/GenericTraceActivity.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x3.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:227:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 227 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-scalar-lrintf-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:228:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 228 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__scalar_lrintf_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:283:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 283 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/field_mask_util.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:284:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 284 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/TypeCast.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:285:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 285 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:31: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 16 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: at offset 8 into object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::avx512_common_gemm_f32::xbyak_gemm_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:69: note: object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_common_gemm_f32.cpp:1508:53: note: object ‘’ of size 8 1508 | vpxorq(Zmm(i + 8 * j), Zmm(i + 8 * j), Zmm(i + 8 * j)); | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-fmagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:286:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 286 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_fmagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:288:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 288 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:289:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 289 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 16 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 16 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: at offset 8 into object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: at offset 8 into object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:169:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx2_kernel_sgemm_kern::k_loop_body(int, int, int, void (Xbyak::CodeGenerator::*)(const T_desta&, const T_srca&), void (Xbyak::CodeGenerator::*)(const T_destb&, const T_srcb&)) [with T_reg = Xbyak::Zmm; T_desta = Xbyak::Ymm; T_srca = Xbyak::Operand; T_destb = Xbyak::Xmm; T_srcb = Xbyak::Operand]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:171:29: note: object ‘’ of size 8 171 | T_reg(i | ^~~~~~~ 172 | + (p % (nb_zmm_a_ / unroll_m_reg_)) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 173 | * next_zmm_a | ~~~~~~~~~~~~ 174 | + zmm_a_idx_)); | ~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_kernel_sgemm_kern.hpp:170:29: note: object ‘’ of size 8 170 | T_reg(zmm_b_idx_ + b_idx), | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x3.c.o [ 17%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/softmax_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x3.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:290:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 290 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-imagic-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:291:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 291 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_imagic_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x1.c.o Compiling transport/shm.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/shm.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:293:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 293 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x2.c.o [ 17%] Generating src/x86_64-fma/blas/s8gemm.py.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:294:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 294 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC16Avx512.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x3.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:295:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 295 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-scalar-lrintf-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:296:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 296 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__scalar_lrintf_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-64.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/exp2minus-k-over-2048.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x1.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:205:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 205 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2-acc2.c.o [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/TypeList.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2-acc2.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:207:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 207 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x2_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static void google::protobuf::util::FieldMaskUtil::FromString(google::protobuf::StringPiece, FieldMask*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:52:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (int i = 0; i < paths.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static bool google::protobuf::util::FieldMaskUtil::FromJsonString(google::protobuf::StringPiece, FieldMask*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:125:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 125 | for (int i = 0; i < paths.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static bool google::protobuf::util::FieldMaskUtil::GetFieldDescriptors(const google::protobuf::Descriptor*, google::protobuf::StringPiece, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:143:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 143 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ [ 17%] Linking CXX static library ../../../lib/libasmjit.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In member function ‘void google::protobuf::util::{anonymous}::FieldMaskTree::AddPath(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:332:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 332 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In member function ‘void google::protobuf::util::{anonymous}::FieldMaskTree::RemovePath(const std::string&, const google::protobuf::Descriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:368:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 368 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:374:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 374 | i != parts.size() - 1)) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In member function ‘void google::protobuf::util::{anonymous}::FieldMaskTree::IntersectPath(const std::string&, google::protobuf::util::{anonymous}::FieldMaskTree*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:417:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 417 | for (int i = 0; i < parts.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc: In static member function ‘static bool google::protobuf::util::FieldMaskUtil::IsPathInFieldMask(google::protobuf::StringPiece, const FieldMask&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/field_mask_util.cc:674:35: warning: comparison of integer expressions of different signedness: ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 674 | } else if (mask_path.length() < path.length()) { | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:206:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 206 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc2.c.o [ 17%] Generating src/x86_64-fma/blas/c8gemm.py.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc2.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:209:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 209 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc4.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:210:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 210 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4.c:26:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-lut64-p2-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:208:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 208 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_lut64_p2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/cpu_sum.cpp.o [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/TypeTraits.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x1.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:198:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 198 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Built target asmjit [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2-acc2.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:200:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 200 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x2_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:199:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 199 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:202:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 202 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc4.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc4.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:203:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 203 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-scalar-rr2-p5-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:201:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 201 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__scalar_rr2_p5_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-prod.dir/src/tables/vlog.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-scalar.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar-pipelined.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:32:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 32 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_1x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/post-operation.dir/src/operators/post-operation.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-1x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:31:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 31 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_1x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c.o [ 17%] Built target post-operation [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_f32_copy_an_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:34:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_2x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/Type_demangle.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/operator-utils.dir/src/operator-utils.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-2x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:33:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 33 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_2x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/Type_no_demangle.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:42:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_4x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Built target operator-utils [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_f32_copy_at_kern_autogen.cpp.o [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/Unicode.cpp.o [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_f32_copy_bn_kern_autogen.cpp.o [ 17%] Generating src/x86_64-fma/blas/s4c6gemm.py.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:41:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 41 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_4x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar-pipelined.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:63:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 63 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x1__scalar_pipelined) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/datapiece.cc.o [ 17%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/default_value_objectwriter.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:62:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 62 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x1__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_f32_copy_bt_kern_autogen.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x2-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x2-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x2-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:76:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 76 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/UniqueVoidPtr.cpp.o [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC16Avx512VNNI.cc.o [ 17%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x4-minmax-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x4-minmax-scalar.c:25:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x4-minmax-scalar.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:78:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 78 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/complex_math.cpp.o [ 17%] Generating src/x86_64-fma/blas/conv1x1.py.o [ 17%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/error_listener.cc.o Compiling transport/net_ib.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/net_ib.o [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC32.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:334:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 334 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:335:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 335 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:336:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 336 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Generating src/x86_64-fma/blas/sgemm.py.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:337:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 337 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/field_mask_utility.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:420:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 420 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h: In destructor ‘virtual google::protobuf::util::converter::DefaultValueObjectWriter::Node::~Node()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h:156:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 156 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc: In member function ‘google::protobuf::util::converter::DefaultValueObjectWriter::Node* google::protobuf::util::converter::DefaultValueObjectWriter::Node::FindChild(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:223:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 223 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc: In member function ‘void google::protobuf::util::converter::DefaultValueObjectWriter::Node::WriteChildren(google::protobuf::util::converter::ObjectWriter*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:268:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 268 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/flags_use_gflags.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:421:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 421 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc: In member function ‘virtual void google::protobuf::util::converter::DefaultValueObjectWriter::Node::PopulateChildren(const google::protobuf::util::converter::TypeInfo*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:317:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 317 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 17%] Built target microkernels-prod /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.cc:394:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 394 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x4.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/operator-run.dir/src/operator-run.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = int; From = unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = int; From = unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:341:47: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:126:31: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = int; From = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = int; From = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:343:47: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:126:31: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = unsigned int; From = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = unsigned int; From = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:337:46: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:139:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long int; From = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long int; From = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:343:47: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:151:31: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘long int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long unsigned int; From = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long unsigned int; From = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:337:46: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:164:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc: In instantiation of ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::ValidateNumberConversion(To, From) [with To = long unsigned int; From = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:80:34: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::{anonymous}::NumberConvertAndCheck(From) [with To = long unsigned int; From = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:339:46: required from ‘google::protobuf::util::StatusOr google::protobuf::util::converter::DataPiece::GenericConvert() const [with To = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:164:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:60:13: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘long int’ [-Wsign-compare] 60 | if (after == before && | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/datapiece.cc:61:36: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘long unsigned int’ [-Wsign-compare] 61 | MathUtil::Sign(before) == MathUtil::Sign(after)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:422:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 422 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:423:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 423 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vadd_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x1.c.o [ 17%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_escaping.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:248:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 248 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:249:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 249 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:250:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 250 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:251:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 251 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vadd_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Generating src/x86_64-fma/max-pooling.py.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:536:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 536 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:537:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 537 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x4.c.o [ 17%] Built target operator-run /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:538:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 538 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x8.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:539:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 539 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:668:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 668 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Generating src/x86_64-fma/relu.py.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x2.c.o [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateKernelU8S8S32ACC32Avx512VNNI.cc.o [ 17%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GroupwiseConv.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:669:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 669 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/json_escaping.cc: In static member function ‘static void google::protobuf::util::converter::JsonEscaping::Escape(google::protobuf::StringPiece, google::protobuf::strings::ByteSink*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/json_escaping.cc:349:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 349 | for (int i = 0; i < len; i++) { | ~~^~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x4.c.o [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/flags_use_no_gflags.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:670:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 670 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc: In function ‘std::string google::protobuf::util::converter::ConvertFieldMaskPath(google::protobuf::StringPiece, ConverterCallback)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:76:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 76 | for (size_t i = 0; i <= path.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:79:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 79 | if (i == path.size()) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:93:11: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 93 | if (i == path.size() || path[i] == '.' || path[i] == '(' || | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:97:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 97 | if (i < path.size()) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/field_mask_utility.cc:102:11: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 102 | if (i < path.size() && path[i] == '\"') { | ~~^~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x8.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:671:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 671 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vaddc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:280:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 280 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object c10/CMakeFiles/c10.dir/util/int128.cpp.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x2.c.o [ 17%] Generating src/x86_64-fma/softmax.py.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:281:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 281 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_objectwriter.cc.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:282:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 282 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-scalar-x8.c.o [ 17%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:283:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 283 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vaddc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:357:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 357 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x2.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:358:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 358 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:359:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 359 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x8.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:360:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 360 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:432:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 432 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x2.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:433:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 433 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:434:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 434 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:435:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 435 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdiv_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:256:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 256 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x2.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:257:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 257 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:258:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 258 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:259:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 259 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdiv_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:559:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 559 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:560:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 560 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x4.c.o [ 18%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/json_stream_parser.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:561:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 561 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:562:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 562 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x1.c.o [ 18%] Generating src/x86_64-fma/blas/sdotxf.py.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:680:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 680 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/allocator.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:681:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 681 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x4.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:682:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 682 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x8.c.o [ 18%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/object_writer.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:683:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 683 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vdivc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x1.c.o [ 18%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ILoggerObserver.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:288:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 288 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/ideep/mkl-dnn/src/backend/dnnl/CMakeFiles/dnnl_graph_backend_dnnl.dir/patterns/sum_fusion.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x2.c.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_gemv_t_f32_kern.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:289:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 289 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:290:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 290 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/proto_writer.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-scalar-x8.c.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/intrusive_ptr.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:291:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 291 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vdivc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:192:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 192 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x2.c.o [ 18%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/protostream_objectsource.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:193:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 193 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/fd.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:194:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 194 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/IpcFabricConfigClient.cpp.o [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefavx512fnofma.dir/sleefsimdsp.c.o Compiling transport/coll_net.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/coll_net.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/numa.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:195:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 195 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:474:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 474 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Generating src/x86_64-fma/blas/shdotxf.py.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x2.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x4.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/socket.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:475:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 475 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:476:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 476 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512fnofma.dir/sleefsimdsp.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:477:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 477 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:215:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 215 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512f.dir/sleefsimdsp.c.o [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefavx512f.dir/sleefsimdsp.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x2.c.o [ 18%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GroupwiseConvAcc32Avx2.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:216:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 216 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:217:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 217 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512fnofma.dir/sleefsimddp.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function ‘tensorpipe::Error tensorpipe::Fd::readFull(void*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc:50:10: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 50 | if (rv != count) { | ~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function ‘tensorpipe::Error tensorpipe::Fd::writeFull(const void*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/fd.cc:62:10: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 62 | if (rv != count) { | ~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:218:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 218 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/system.cc.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x1.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:497:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 497 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x2.c.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/signal_handler.cpp.o [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/thread_name.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:498:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 498 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x4.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context_impl.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:12, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.cpp:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘auto dynolog::ipcfabric::EndPoint::buildCtxt_(const std::vector&, unsigned int) [with long unsigned int kMaxNumFds = 0]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:116:17: required from ‘auto dynolog::ipcfabric::EndPoint::buildSendCtxt(const std::string&, const std::vector&, const std::vector&) [with long unsigned int kMaxNumFds = 0; std::string = std::__cxx11::basic_string]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:126:36: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:238:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 238 | for (int i = 0; i < payload.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:499:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 499 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-scalar-x8.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/error.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:500:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 500 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x1.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_kernel_b0_sgemm_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:380:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 380 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:381:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 381 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryPeekMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:155:33: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:174:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 174 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘const char* dynolog::ipcfabric::EndPoint::getName(const TCtxt&) const [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:170:43: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:185:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 185 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 186 | "Unexpected socket name: " + std::string(ctxt.msg_name.sun_path) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 187 | ". Expected to start with " + std::string(socket_dir)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:192:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 192 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | "Expected abstract socket, got " + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | std::string(ctxt.msg_name.sun_path)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryRcvMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:178:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:160:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 160 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x4.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:382:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 382 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:383:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 383 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.cc: In member function ‘virtual std::string google::protobuf::util::converter::ProtoWriter::ProtoElement::ToString() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.cc:409:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 409 | while (i < name.size() && | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/proto_writer.cc:412:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 412 | if (i > 0 && i == name.size()) { // safe field name | ~~^~~~~~~~~~~~~~ [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefavx2.dir/sleefsimdsp.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:444:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 444 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefavx2.dir/sleefsimddp.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:445:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 445 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object c10/CMakeFiles/c10.dir/util/typeid.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:446:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 446 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:447:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 447 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmul_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/float16.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:264:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 264 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:265:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 265 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x4.c.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/f32/jit_sse41_kernel_sgemm_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:266:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 266 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:267:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 267 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmul_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:605:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 605 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x2.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:606:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 606 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:607:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 607 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx512f.dir/sleefsimddp.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:608:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 608 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:704:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 704 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:705:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 705 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x4.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:706:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 706 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:707:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 707 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vmulc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x1.c.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x2.c.o [ 18%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:296:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 296 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefavx512fnofma.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:297:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 297 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object sleef/src/libm/CMakeFiles/sleefavx512f.dir/sleefsimddp.c.o [ 18%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_convolution.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:298:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 298 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/Logger.cpp.o [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:299:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 299 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmulc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:582:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 582 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:583:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 583 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:584:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 584 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 18%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:585:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:692:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 692 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:693:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 693 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:694:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 694 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_convolution_utils.cpp.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:695:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 695 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrdivc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:304:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 304 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x2.c.o [ 19%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/init.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:305:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 305 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:306:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 306 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GroupwiseConvAcc32Avx512.cc.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-scalar-x8.c.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_inner_product.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:307:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 307 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrdivc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:651:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 651 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:652:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 652 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:653:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 653 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2.dir/sleefsimdsp.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x8.c.o [ 19%] Built target sleefdetavx512fnofma [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:654:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 654 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:728:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 728 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2.dir/sleefsimddp.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:729:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 729 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x4.c.o [ 19%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/protostream_objectwriter.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:730:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 730 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:731:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 731 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vrsubc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/init.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:312:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 312 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x2.c.o [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-inference.c.o [ 19%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/type_info.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:313:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 313 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-inference.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-inference.c: In function ‘compute_kernel_packing’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-inference.c:269:22: warning: unused variable ‘reduction_block_start’ [-Wunused-variable] 269 | const size_t reduction_block_start = context->reduction_block_start; | ^~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:314:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 314 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:315:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 315 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vrsubc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:238:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 238 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAMatrix.cc.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x2.c.o Compiling transport/net_socket.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/net_socket.o [ 19%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAWithIm2Col.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:239:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 239 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/type_info_test_helper.cc.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x4.c.o [ 19%] Built target sleefdetavx512f [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_inner_product_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:240:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 240 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAWithQuantRowOffset.cc.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefavx2128.dir/sleefsimdsp.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:241:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 241 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:520:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 520 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2128.dir/sleefsimdsp.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:521:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 521 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:522:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 522 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe.cc.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x8.c.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx2128.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:523:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 523 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:158:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:156:14: note: object ‘y’ of size 8 156 | auto y = y_[j]; | ^ [ 19%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/internal/utility.cc.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:403:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 403 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/fully-connected-inference.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:404:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 404 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/pooling-output.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/pooling-output.c: In function ‘compute_max_pooling_forward_2x2_2x2__avx2’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/pooling-output.c:94:30: warning: unused variable ‘output_row_count’ [-Wunused-variable] 94 | const size_t output_row_count = min(output_tile.height, output_height - y); | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:405:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 405 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:406:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 406 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc: In function ‘google::protobuf::util::Status google::protobuf::util::converter::{anonymous}::GetNanosFromStringPiece(google::protobuf::StringPiece, const char*, const char*, google::protobuf::int32*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc:150:47: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 150 | if (s_nanos.find_first_not_of("0123456789") != StringPiece::npos) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc: In member function ‘void google::protobuf::util::converter::ProtoStreamObjectWriter::AnyWriter::StartAny(const google::protobuf::util::converter::DataPiece&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/protostream_objectwriter.cc:379:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 379 | for (int i = 0; i < uninterpreted_events_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/relu-output.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:456:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 456 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/softmax-output.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x2.c.o [ 19%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/output_csv.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:457:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 457 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/fully-connected-output.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/fully-connected-output.c:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/fully-connected-output.c: In function ‘compute_matrix_multiplication’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/fully-connected-output.c:115:22: warning: unused variable ‘simd_width’ [-Wunused-variable] 115 | const size_t simd_width = context->simd_width; | ^~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:158:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::kernel_loop(int, int, bool, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:156:14: note: object ‘y’ of size 8 156 | auto y = y_[j]; | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:458:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 458 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-relu-scalar-x8.c.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/gemm_driver.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:459:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 459 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsub_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.h:39, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h: In destructor ‘virtual google::protobuf::util::converter::DefaultValueObjectWriter::Node::~Node()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h:156:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 156 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefavx2128.dir/sleefsimddp.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x1.c.o [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/relu-input-gradient.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:272:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 272 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_conv_zp_src_pad_comp.cpp.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:273:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 273 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-input-gradient.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.cc: In member function ‘void google::protobuf::util::converter::testing::TypeInfoTestHelper::ResetTypeInfo(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/type_info_test_helper.cc:59:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 59 | for (int i = 1; i < descriptors.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-input-gradient.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:274:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 274 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-scalar-x8.c.o [ 19%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackAWithRowOffset.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:275:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 275 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsub_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x1.c.o [ 19%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/output_json.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x1.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:628:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 628 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x2.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:629:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 629 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x4.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:630:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 630 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x8.c.o [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-kernel-gradient.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x8.c:22:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:631:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 631 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c: In function ‘compute_matrix_multiplication’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:177:22: warning: unused variable ‘output_channels’ [-Wunused-variable] 177 | const size_t output_channels = context->output_channels; | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:175:22: warning: unused variable ‘input_channels_block_size’ [-Wunused-variable] 175 | const size_t input_channels_block_size = context->input_channels_block_size; | ^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-kernel-gradient.c:170:22: warning: unused variable ‘batch_size’ [-Wunused-variable] 170 | const size_t batch_size = context->batch_size; | ^~~~~~~~~~ [ 19%] Built target sleefavx2 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x1.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:716:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 716 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Built target sleefdetavx2 In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:184:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:183:14: note: object ‘y’ of size 8 183 | auto y = y_[i]; | ^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::shufps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:844:69, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vbroadcastss(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:516:19, inlined from ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:176:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_sse41_gemv_n_f32_kern::innerloop(int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_sse41_gemv_n_f32_kern.cpp:175:14: note: object ‘x’ of size 8 175 | auto x = x_[i]; | ^ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x2.c.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleeffma4.dir/sleefsimdsp.c.o [ 19%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/json_util.cc.o [ 19%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackBMatrix.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x2.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:717:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 717 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/message_differencer.cc.o [ 19%] Built target dnnl_common [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x4.c.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_convolution.cpp.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x4.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:718:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 718 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x8.c:22:37: warning: argument 5 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-relu-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:184:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 184 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:719:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION’ 719 | DECLARE_F32_VBINOP_RELU_UKERNEL_FUNCTION(xnn_f32_vsubc_relu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x1.c.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetfma4.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x1.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:320:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 320 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/convolution-output.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc: In function ‘std::string google::protobuf::util::converter::ToCamelCase(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:261:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 261 | for (size_t i = 0; i < input.size(); ++i, was_cap = is_cap) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:274:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 274 | (i + 1 < input.size() && ascii_islower(input[i + 1])))) { | ~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc: In function ‘std::string google::protobuf::util::converter::ToSnakeCase(google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:303:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 303 | for (size_t i = 0; i < input.size(); ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:316:19: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} [-Wsign-compare] 316 | (i + 1 < input.size() && // case 3 out | ~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc: In function ‘void google::protobuf::util::converter::InitWellKnownTypes()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/utility.cc:347:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 347 | for (int i = 0; i < GOOGLE_ARRAYSIZE(well_known_types_name_array_); ++i) { [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h: In function ‘read_timer’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/system.h:22:13: warning: unused variable ‘result’ [-Wunused-variable] 22 | int result = clock_gettime(CLOCK_MONOTONIC, &ts); | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c: In function ‘compute_output_transform’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c:139:22: warning: unused variable ‘column_offset’ [-Wunused-variable] 139 | const size_t column_offset = context->column_offset; | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/convolution-output.c:137:22: warning: unused variable ‘row_offset’ [-Wunused-variable] 137 | const size_t row_offset = context->row_offset; | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x2.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:321:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 321 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x4.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:322:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 322 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x8.c:22:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-scalar-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:323:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 323 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsubc_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x1.c:21:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:248:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 248 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x2.c:21:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:249:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 249 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-scalar-x4.c.o [ 19%] Building C object confu-deps/NNPACK/CMakeFiles/nnpack.dir/src/x86_64-fma/softmax.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x4.c:21:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:250:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 250 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:15:21: warning: argument 2 of type ‘const float[restrict static n]’ declared as a variable length array [-Wvla-parameter] 15 | const float x[restrict static n], | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:6: /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/softmax.h:13:47: note: previously declared as a pointer ‘const float *’ 13 | void nnp_softmax__avx2(size_t n, const float* x, float* y); | ~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:16:15: warning: argument 3 of type ‘float[restrict static n]’ declared as a variable length array [-Wvla-parameter] 16 | float y[restrict static n]) | ~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/softmax.h:13:57: note: previously declared as a pointer ‘float *’ 13 | void nnp_softmax__avx2(size_t n, const float* x, float* y); | ~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/src/x86_64-fma/softmax.c:26:15: warning: argument 2 of type ‘float[restrict static n]’ declared as a variable length array [-Wvla-parameter] 26 | float v[restrict static n]) | ~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/NNPACK/include/nnpack/softmax.h:14:49: note: previously declared as a pointer ‘float *’ 14 | void nnp_inplace_softmax__avx2(size_t n, float* v); | ~~~~~~~^ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x1.c.o [ 19%] Linking C static library ../../lib/libnnpack.a [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x1.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:478:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 478 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Built target nnpack [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetfma4.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x2.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:479:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 479 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x3.c.o [ 19%] Built target sleefdetavx2128 [ 19%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackMatrix.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x3.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:480:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 480 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling collectives/all_gather.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/all_gather.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleeffma4.dir/sleefsimddp.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x4.c.o [ 19%] Built target sleefavx512f /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x4.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:481:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 481 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefavx.dir/sleefsimdsp.c.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x5.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:482:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 482 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x6.c.o [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x6.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-lut16-p3-x6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:483:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 483 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_lut16_p3_x6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object sleef/src/libm/CMakeFiles/sleefdetavx.dir/sleefsimddp.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/json_util.cc:37: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h: In destructor ‘virtual google::protobuf::util::converter::DefaultValueObjectWriter::Node::~Node()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/internal/default_value_objectwriter.h:156:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 156 | for (int i = 0; i < children_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:485:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 485 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/json_util.cc: In member function ‘virtual void google::protobuf::util::internal::ZeroCopyStreamByteSink::Append(const char*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/json_util.cc:64:13: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 64 | if (len <= buffer_size_) { | ~~~~^~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x2.c.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/gemm_info.cpp.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/gemm_pack.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:486:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 486 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x3.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:487:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 487 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In constructor ‘google::protobuf::util::MessageDifferencer::MultipleFieldsMapKeyComparator::MultipleFieldsMapKeyComparator(google::protobuf::util::MessageDifferencer*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:114:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 114 | for (int i = 0; i < key_field_paths_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘virtual bool google::protobuf::util::MessageDifferencer::MultipleFieldsMapKeyComparator::IsMatch(const google::protobuf::Message&, const google::protobuf::Message&, const std::vector&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:127:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 127 | for (int i = 0; i < key_field_paths_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::MultipleFieldsMapKeyComparator::IsMatchInternal(const google::protobuf::Message&, const google::protobuf::Message&, const std::vector&, const std::vector&, int) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:144:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (path_index == key_field_path.size() - 1) { | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In function ‘void google::protobuf::util::MatchIndicesPostProcessorForSmartList(std::vector*, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:190:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 190 | for (int i = 0; i < match_list1->size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In destructor ‘google::protobuf::util::MessageDifferencer::~MessageDifferencer()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:278:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 278 | for (int i = 0; i < owned_key_comparators_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:281:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 281 | for (int i = 0; i < ignore_criteria_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘void google::protobuf::util::MessageDifferencer::TreatAsMapWithMultipleFieldsAsKey(const google::protobuf::FieldDescriptor*, const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:382:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 382 | for (int i = 0; i < key_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘void google::protobuf::util::MessageDifferencer::TreatAsMapWithMultipleFieldPathsAsKey(const google::protobuf::FieldDescriptor*, const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:397:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 397 | for (int i = 0; i < key_field_paths.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:400:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 400 | for (int j = 0; j < key_field_path.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘google::protobuf::util::FieldDescriptorArray google::protobuf::util::MessageDifferencer::CombineFields(const google::protobuf::util::FieldDescriptorArray&, Scope, const google::protobuf::util::FieldDescriptorArray&, Scope)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:679:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 679 | while (index1 < fields1.size() && index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:679:44: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 679 | while (index1 < fields1.size() && index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In static member function ‘static bool google::protobuf::util::MessageDifferencer::CheckPathChanged(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1119:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1119 | for (int i = 0; i < field_path.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::IsIgnored(const google::protobuf::Message&, const google::protobuf::Message&, const google::protobuf::FieldDescriptor*, const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1166:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1166 | for (int i = 0; i < ignore_criteria_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::IsUnknownFieldIgnored(const google::protobuf::Message&, const google::protobuf::Message&, const SpecificField&, const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1179:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1179 | for (int i = 0; i < ignore_criteria_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘bool google::protobuf::util::MessageDifferencer::CompareUnknownFields(const google::protobuf::Message&, const google::protobuf::Message&, const google::protobuf::UnknownFieldSet&, const google::protobuf::UnknownFieldSet&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1302:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1302 | while (index1 < fields1.size() || index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1302:44: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1302 | while (index1 < fields1.size() || index2 < fields2.size()) { | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1316:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1316 | if (index2 == fields2.size() || | ~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1317:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1317 | (index1 < fields1.size() && | ~~~~~~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1322:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1322 | } else if (index1 == fields1.size() || | ~~~~~~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:488:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 488 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc: In member function ‘virtual void google::protobuf::util::MessageDifferencer::StreamReporter::PrintPath(const std::vector&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/util/message_differencer.cc:1764:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1764 | for (int i = 0; i < field_path.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ [ 19%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackWeightMatrixForGConv.cc.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/gemv_driver.cpp.o [ 19%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_gemm_s8u8s32_kern.cpp.o [ 19%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x5.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:489:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 489 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x6.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x6.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-scalar-rr2-p6-x6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:490:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 490 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__scalar_rr2_p6_x6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x1.c:21:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:524:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 524 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-scalar-x2.c.o [ 20%] Building C object sleef/src/libm/CMakeFiles/sleefavx.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x2.c:21:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:525:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 525 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-scalar-x4.c.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_an_kern_autogen.cpp.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_at_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x4.c:21:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:526:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 526 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x1.c:20:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:585:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 585 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x2.c:20:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:586:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 586 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-scalar-x4.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c1-minmax-scalar-2x.c.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c2-minmax-scalar-2x.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c1-minmax-scalar-2x.c:24:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c1-minmax-scalar-2x.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:55:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 55 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c1__scalar_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x4.c:20:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:587:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 587 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c2-minmax-scalar-2x.c:24:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c2-minmax-scalar-2x.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:56:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 56 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c2__scalar_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_convolution_utils.cpp.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-scalar-2x.c.o [ 20%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/time_util.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-scalar-2x.c:24:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-scalar-2x.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:57:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 57 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c4__scalar_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm_x8s8s32x_inner_product.cpp.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x1.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:631:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 631 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x2.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:632:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 632 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x4.c.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/nchw_pooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x4.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:633:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 633 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ncsp_batch_normalization.cpp.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x8.c:20:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-scalar-x8.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:634:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 634 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x1.c.o [ 20%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackWeightsForConv.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/dnnl_thread.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/gemm_inner_product.cpp:18: In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:789:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:792:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:718:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 718 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x2.c.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/nhwc_pooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:719:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 719 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x4.c.o [ 20%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/nspc_batch_normalization.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:720:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 720 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 20%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe_impl.cc.o [ 20%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x1.c.o [ 21%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/error.cc.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_bn_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:664:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 664 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:665:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 665 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling collectives/broadcast.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/broadcast.o [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/PackWeightsForDirectConv.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x4.c.o [ 21%] Built target sleefavx512fnofma /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:666:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 666 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/platform.cpp.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x1.c.o [ 21%] Built target sleefdetfma4 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:700:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 700 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x2.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x4.c.o [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/primitive_attr_postops.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:701:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 701 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:702:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 702 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefsse4.dir/sleefsimdsp.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x1.c.o [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefsse4.dir/sleefsimddp.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:682:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 682 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__scalar_libm_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:683:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 683 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__scalar_libm_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x4.c.o [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefdetsse4.dir/sleefsimdsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-scalar-libm-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:684:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 684 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__scalar_libm_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x1.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1088:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1088 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut64_p2_div_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_batch_normalization.cpp.o [ 21%] Linking CXX shared library ../lib/libc10.so [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x2.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1089:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1089 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut64_p2_div_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x4.c.o [ 21%] Built target sleefavx2128 [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/QuantUtils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x4.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut64-p2-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1090:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1090 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut64_p2_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x1.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1084:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1084 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut2048_p1_div_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x2.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1085:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1085 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut2048_p1_div_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x4.c.o [ 21%] Built target c10 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x4.c:25:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-lut2048-p1-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1086:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1086 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_lut2048_p1_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x1.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1092:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1092 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_p5_div_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/channel_impl.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x2.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x4.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x2.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1093:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1093 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_p5_div_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Built target sleefdetavx /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-scalar-rr2-p5-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1094:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1094 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__scalar_rr2_p5_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x1.c:21:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:788:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 788 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__scalar_sqrt_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/RowWiseSparseAdagradFused.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x2.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x4.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x2.c:21:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:789:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 789 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__scalar_sqrt_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x4.c:21:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-scalar-sqrt-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:790:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 790 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__scalar_sqrt_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/util/type_resolver_util.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x1.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x1.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:230:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 230 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/wire_format.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function ‘void tensorpipe::{anonymous}::parseDescriptorReplyOfMessage(tensorpipe::WriteOperation&, tensorpipe::DescriptorReply)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:35:40: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 35 | for (size_t tensorIdx = 0; tensorIdx < numTensors; ++tensorIdx) { | ~~~~~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function ‘std::shared_ptr > tensorpipe::{anonymous}::makeDescriptorForMessage(const tensorpipe::WriteOperation&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:77:39: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 77 | for (int payloadIdx = 0; payloadIdx < op.message.payloads.size(); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:87:37: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 87 | for (int tensorIdx = 0; tensorIdx < op.tensors.size(); ++tensorIdx) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x2.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:231:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 231 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-scalar-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:232:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 232 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x1.c:21:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:613:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 613 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x2.c:21:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:614:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 614 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x4.c:21:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:615:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 615 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/__/src/google/protobuf/wrappers.pb.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-scalar-x1.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In member function ‘void tensorpipe::PipeImpl::expectReadCall(ReadOpIter)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:869:18: warning: unused variable ‘op’ [-Wunused-variable] 869 | ReadOperation& op = *opIter; | ^~ [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_binary.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1119:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1119 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1120:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1120 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-scalar-x4.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/i16-vlshift/gen/i16-vlshift-scalar-x1.c.o [ 21%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1121:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1121 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_bt_kern_autogen.cpp.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/i16-vlshift/gen/i16-vlshift-scalar-x2.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/i16-vlshift/gen/i16-vlshift-scalar-x3.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/i16-vlshift/gen/i16-vlshift-scalar-x4.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-scalar-bitcast.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-scalar-fabsf.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-lut4-p4.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-lut8-p3.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-lut8-p4.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-lut16-p3.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-lut16-p4.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-p5.c.o Compiling graph/topo.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/topo.o [ 21%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o [ 21%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::ReadOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:391:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-scalar-rr2-p6.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::PipeImpl; TOp = tensorpipe::WriteOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:580:29: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f32-scalar-rr2-lut64-p2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:51:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f32-scalar-rr2-lut2048-p1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::basic::ChannelImpl; TOp = tensorpipe::channel::basic::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:118:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 21%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_convolution.cpp.o [ 21%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/context_impl.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f32-scalar-rr2-p5.c.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-scalar-addsub.c.o [ 21%] Building C object sleef/src/libm/CMakeFiles/sleefdetsse4.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc: In static member function ‘static size_t google::protobuf::internal::WireFormat::ByteSize(const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1465:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1465 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc: In static member function ‘static size_t google::protobuf::internal::WireFormat::FieldDataOnlyByteSize(const google::protobuf::FieldDescriptor*, const google::protobuf::Message&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1664:5: note: in expansion of macro ‘HANDLE_TYPE’ 1664 | HANDLE_TYPE(INT32, Int32, Int32) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1665:5: note: in expansion of macro ‘HANDLE_TYPE’ 1665 | HANDLE_TYPE(INT64, Int64, Int64) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1666:5: note: in expansion of macro ‘HANDLE_TYPE’ 1666 | HANDLE_TYPE(SINT32, SInt32, Int32) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1667:5: note: in expansion of macro ‘HANDLE_TYPE’ 1667 | HANDLE_TYPE(SINT64, SInt64, Int64) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1668:5: note: in expansion of macro ‘HANDLE_TYPE’ 1668 | HANDLE_TYPE(UINT32, UInt32, UInt32) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1669:5: note: in expansion of macro ‘HANDLE_TYPE’ 1669 | HANDLE_TYPE(UINT64, UInt64, UInt64) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1681:5: note: in expansion of macro ‘HANDLE_TYPE’ 1681 | HANDLE_TYPE(GROUP, Group, Message) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1648:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1648 | for (int j = 0; j < count; j++) { \ | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1682:5: note: in expansion of macro ‘HANDLE_TYPE’ 1682 | HANDLE_TYPE(MESSAGE, Message, Message) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1688:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1688 | for (int j = 0; j < count; j++) { | ~~^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/wire_format.cc:1703:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1703 | for (int j = 0; j < count; j++) { | ~~^~~~~~~ [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-scalar-cvt.c.o [ 21%] Built target sleeffma4 [ 21%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/factory.cc.o [ 21%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-scalar-floor.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-scalar-addsub.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-scalar-nearbyint.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-scalar-rint.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-scalar-addsub.c.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_an_kern_autogen.cpp.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-scalar-ceil.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-scalar-cvt.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-scalar-addsub.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-scalar-cvt.c.o [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/channel_impl.cc.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-scalar-trunc.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-scalar-rr2-lut64-p2-div.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-scalar-rr2-lut2048-p1-div.c.o [ 22%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/SparseAdagrad.cc.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-scalar-rr2-p5-div.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-bitmanip.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-clz-binsearch.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-clz-newton.c.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_convolution_int8.cpp.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-cvti32-sqrt-lrint.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-cvti64-sqrt-lrint.c.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_deconvolution.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:65:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-cvti64-sqrtf-lrintf.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-cvtu32-sqrt-lrint.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/serializer.h:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/nop_types.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::pair; T = std::__cxx11::basic_string; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::__cxx11::basic_string > >; Type = std::unordered_map, std::__cxx11::basic_string >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::__cxx11::basic_string >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transport, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::address, void*, 0, void>, nop::MemberPointer, std::equal_to, std::allocator > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportDomainDescriptor, void*, 0, void>, nop::MemberPointer, std::allocator >, std::vector >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::vector > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelDeviceDescriptors, void*, 0, void>, nop::MemberPointer, std::__cxx11::basic_string, std::allocator >, std::hash >, std::equal_to >, std::allocator, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelForDevicePair, void*, 0, void> >; T = std::unordered_map, std::__cxx11::basic_string >; Class = tensorpipe::BrochureAnswer; T Class::* Pointer = &tensorpipe::BrochureAnswer::channelForDevicePair]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 7; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::__cxx11::basic_string >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, false>::value_type’ {aka ‘const std::pair, std::__cxx11::basic_string >’} [-Wrange-loop-construct] 142 | for (const std::pair& element : value) { | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::__cxx11::basic_string >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, false>::value_type&’ {aka ‘const std::pair, std::__cxx11::basic_string >&’} to prevent copying /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::xth::ChannelImpl; TOp = tensorpipe::channel::xth::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:157:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::unordered_map >; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::unordered_map > > >; Type = std::unordered_map, std::unordered_map > >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::unordered_map > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator >, std::__cxx11::basic_string, std::allocator >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::transportDomainDescriptors, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::channelDeviceDescriptors, void*, 0, void> >; T = std::unordered_map, std::unordered_map > >; Class = tensorpipe::Brochure; T Class::* Pointer = &tensorpipe::Brochure::channelDeviceDescriptors]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 2; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::unordered_map > >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::unordered_map > >, false, true>::value_type’ {aka ‘const std::pair, std::unordered_map > >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::unordered_map > >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::unordered_map > >, false, true>::value_type&’ {aka ‘const std::pair, std::unordered_map > >&’} to prevent copying /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::__cxx11::basic_string; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::__cxx11::basic_string > >; Type = std::unordered_map, std::__cxx11::basic_string >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::__cxx11::basic_string >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator >, std::__cxx11::basic_string, std::allocator >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::transportDomainDescriptors, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::channelDeviceDescriptors, void*, 0, void> >; T = std::unordered_map, std::__cxx11::basic_string >; Class = tensorpipe::Brochure; T Class::* Pointer = &tensorpipe::Brochure::transportDomainDescriptors]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 1; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 2; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::__cxx11::basic_string >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, true>::value_type’ {aka ‘const std::pair, std::__cxx11::basic_string >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::__cxx11::basic_string >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::__cxx11::basic_string >, false, true>::value_type&’ {aka ‘const std::pair, std::__cxx11::basic_string >&’} to prevent copying In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of ‘void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:68:17: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison of integer expressions of different signedness: ‘std::deque, std::allocator > >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 24 | while (items_.size() >= capacity_) { | ~~~~~~~~~~~~~~^~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-cvtu32-sqrtf-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::vector; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::vector > >; Type = std::unordered_map, std::vector >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::vector >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transport, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::address, void*, 0, void>, nop::MemberPointer, std::equal_to, std::allocator > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportDomainDescriptor, void*, 0, void>, nop::MemberPointer, std::allocator >, std::vector >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::vector > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelDeviceDescriptors, void*, 0, void>, nop::MemberPointer, std::__cxx11::basic_string, std::allocator >, std::hash >, std::equal_to >, std::allocator, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelForDevicePair, void*, 0, void> >; T = std::unordered_map, std::vector >; Class = tensorpipe::BrochureAnswer; T Class::* Pointer = &tensorpipe::BrochureAnswer::channelRegistrationIds]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: recursively required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 6; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 7; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair, std::vector >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, std::vector >, false, true>::value_type’ {aka ‘const std::pair, std::vector >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair, std::vector >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, std::vector >, false, true>::value_type&’ {aka ‘const std::pair, std::vector >&’} to prevent copying /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = tensorpipe::Device; T = std::__cxx11::basic_string; Hash = std::hash; KeyEqual = std::equal_to; Allocator = std::allocator > >; Type = std::unordered_map >]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:147:34: required from ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = std::__cxx11::basic_string; T = std::unordered_map >; Hash = std::hash >; KeyEqual = std::equal_to >; Allocator = std::allocator, std::unordered_map > > >; Type = std::unordered_map, std::unordered_map > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map, std::unordered_map > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator >, std::__cxx11::basic_string, std::allocator >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::transportDomainDescriptors, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::Brochure::*, &tensorpipe::Brochure::channelDeviceDescriptors, void*, 0, void> >; T = std::unordered_map, std::unordered_map > >; Class = tensorpipe::Brochure; T Class::* Pointer = &tensorpipe::Brochure::channelDeviceDescriptors]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:103:41: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 2; Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::Brochure]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair >&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator >, false, false>::value_type’ {aka ‘const std::pair >’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair >’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator >, false, false>::value_type&’ {aka ‘const std::pair >&’} to prevent copying [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_at_kern_autogen.cpp.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-hashemian.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h: In instantiation of ‘static constexpr nop::Status nop::Encoding >::WritePayload(nop::EncodingByte, const Type&, Writer*) [with Writer = tensorpipe::NopWriter; Key = long unsigned int; T = long unsigned int; Hash = std::hash; KeyEqual = std::equal_to; Allocator = std::allocator >; Type = std::unordered_map]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = std::unordered_map]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/types/detail/member_pointer.h:56:33: required from ‘static constexpr nop::Status nop::MemberPointer::Write(const Class&, Writer*, MemberList) [with Writer = tensorpipe::NopWriter; MemberList = nop::MemberList, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transport, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::address, void*, 0, void>, nop::MemberPointer, std::equal_to, std::allocator > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::transportDomainDescriptor, void*, 0, void>, nop::MemberPointer, std::allocator >, std::vector >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::vector > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelRegistrationIds, void*, 0, void>, nop::MemberPointer, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, std::unordered_map, std::allocator >, std::hash, std::equal_to, std::allocator, std::allocator > > > > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelDeviceDescriptors, void*, 0, void>, nop::MemberPointer, std::__cxx11::basic_string, std::allocator >, std::hash >, std::equal_to >, std::allocator, std::__cxx11::basic_string, std::allocator > > > > tensorpipe::BrochureAnswer::*, &tensorpipe::BrochureAnswer::channelForDevicePair, void*, 0, void> >; T = std::unordered_map; Class = tensorpipe::BrochureAnswer; T Class::* Pointer = &tensorpipe::BrochureAnswer::transportRegistrationIds]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: recursively required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 6; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:99:31: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WriteMembers(const T&, Writer*, nop::Index) [with long unsigned int index = 7; Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/members.h:59:26: required from ‘static constexpr nop::Status nop::Encoding::value, void>::type>::WritePayload(nop::EncodingByte, const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/encoding.h:120:39: required from ‘static constexpr nop::Status nop::EncodingIO::Write(const T&, Writer*) [with Writer = tensorpipe::NopWriter; T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:232:35: required from ‘nop::Status tensorpipe::NopHolder::write(tensorpipe::NopWriter&) const [with T = tensorpipe::BrochureAnswer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/nop.h:231:21: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: warning: loop variable ‘element’ of type ‘const std::pair&’ binds to a temporary constructed from type ‘const std::__detail::_Node_const_iterator, false, false>::value_type’ {aka ‘const std::pair’} [-Wrange-loop-construct] /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/third_party/libnop/include/nop/base/map.h:142:35: note: use non-reference type ‘const std::pair’ to make the copy explicit or ‘const std::__detail::_Node_const_iterator, false, false>::value_type&’ {aka ‘const std::pair&’} to prevent copying [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u32-scalar-tflm.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u64-scalar-cvtu32-sqrt-cvtsatu32f64.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u64-scalar-cvtu32-sqrt-llrint.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-u64-scalar-cvtu64-sqrt-llrint.c.o [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/factory.cc.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/tanh-f32-scalar-rr1-p6-div.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/tanh-f32-scalar-rr2-p6-div.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p1c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:954:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 954 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:955:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 955 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-lrintf.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c.o [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/channel_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:956:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 956 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1024:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1024 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-imagic.c.o [ 22%] Building C object sleef/src/libm/CMakeFiles/sleefsse2.dir/sleefsimdsp.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:26: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc: In function ‘tensorpipe::Error tensorpipe::channel::cma::{anonymous}::callProcessVmReadv(void*, void*, size_t, pid_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:61:20: warning: comparison of integer expressions of different signedness: ‘ssize_t’ {aka ‘long int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 61 | } else if (nread != length) { | ~~~~~~^~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:66:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_eltwise.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cma::ChannelImpl; TOp = tensorpipe::channel::cma::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:160:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1028:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1028 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1032:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1032 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of ‘void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:324:17: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison of integer expressions of different signedness: ‘std::deque, std::allocator > >::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 24 | while (items_.size() >= capacity_) { | ~~~~~~~~~~~~~~^~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1025:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1025 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-imagic.c.o [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1029:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1029 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/spmmUtils.cc.o [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/factory.cc.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1033:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1033 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c.o [ 22%] Building C object sleef/src/libm/CMakeFiles/sleefsse2.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1026:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1026 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1030:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1030 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1034:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1034 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o [ 22%] Built target sleefdetsse4 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1101:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1101 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/TransposeUtils.cc.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o Compiling graph/connect.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/connect.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1105:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1105 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1109:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1109 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/GenerateI8Depthwise.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:131:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::mpt::ChannelImpl; TOp = tensorpipe::channel::mpt::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:132:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1102:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1102 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object sleef/src/libm/CMakeFiles/sleefdetsse2.dir/sleefsimdsp.c.o [ 22%] Built target sleefavx [ 22%] Building C object sleef/src/libm/CMakeFiles/sleefpurec_scalar.dir/sleefsimdsp.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1106:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1106 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/connection_impl.cc.o [ 22%] Building C object sleef/src/libm/CMakeFiles/sleefdetpurec_scalar.dir/sleefsimdsp.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_inner_product.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1110:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1110 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_bn_kern_autogen.cpp.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1103:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1103 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_inner_product_int8.cpp.o [ 22%] Built target sleefsse4 [ 22%] Building C object sleef/src/libm/CMakeFiles/sleefpurecfma_scalar.dir/sleefsimdsp.c.o [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.cc.o [ 22%] Building C object sleef/src/libm/CMakeFiles/sleefpurecfma_scalar.dir/sleefsimddp.c.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_layer_normalization.cpp.o [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-imagic.c.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_lrn.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1107:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1107 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/RefImplementations.cc.o [ 22%] Building C object sleef/src/libm/CMakeFiles/sleefdetpurec_scalar.dir/sleefsimddp.c.o [ 22%] Built target kineto_base [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c.o [ 22%] Building C object sleef/src/libm/CMakeFiles/sleefdetpurecfma_scalar.dir/sleefsimdsp.c.o [ 22%] Building C object sleef/src/libm/CMakeFiles/sleefdetpurecfma_scalar.dir/sleefsimddp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1111:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1111 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object sleef/src/libm/CMakeFiles/sleefdetsse2.dir/sleefsimddp.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1952:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1952 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-imagic.c.o [ 22%] Linking CXX static library ../../../lib/libprotobuf.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1961:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1961 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1970:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1970 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object sleef/src/libm/CMakeFiles/dispsse_obj.dir/dispsse.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1953:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1953 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_u8_copy_sum_bt_kern_autogen.cpp.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1962:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1962 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1971:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1971 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_pooling.cpp.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-fmagic.c.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_prelu.cpp.o Compiling graph/tuning.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/tuning.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1954:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1954 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_reduction.cpp.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/error.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1963:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1963 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1972:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1972 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-fmagic.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1955:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1955 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1964:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1964 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-lrintf.c.o [ 22%] Built target sleefdetpurecfma_scalar [ 22%] Building C object sleef/src/libm/CMakeFiles/dispavx_obj.dir/dispavx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1973:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1973 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1956:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1956 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/hardware-config.dir/src/hardware-config.c.o [ 22%] Built target sleefdetpurec_scalar [ 22%] Built target libprotobuf [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-imagic.c.o [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o [ 22%] Built target hardware-config /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1965:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1965 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1974:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1974 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/cache.dir/src/cache.c.o [ 22%] Building CXX object third_party/fbgemm/CMakeFiles/fbgemm_generic.dir/src/Utils.cc.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operator-delete.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1957:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1957 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/argmax-pooling-nhwc.c.o [ 22%] Built target cache [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-imagic.c.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_an_kern_autogen.cpp.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_at_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1966:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1966 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/average-pooling-nhwc.c.o [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1975:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1975 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-fmagic.c.o [ 22%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_bn_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1958:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1958 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 22%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_bt_kern_autogen.cpp.o [ 22%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/binary-elementwise-nd.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1967:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1967 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Built target sleefpurecfma_scalar [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_an_kern_autogen.cpp.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1976:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1976 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1959:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1959 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-imagic.c.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_resampling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1968:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1968 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1977:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1977 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x2-minmax-fp32-scalar-fmagic.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x2-minmax-fp32-scalar-imagic.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x2-minmax-fp32-scalar-lrintf.c.o [ 23%] Built target dispsse_obj [ 23%] Building C object sleef/src/libm/CMakeFiles/sleefpurec_scalar.dir/sleefsimddp.c.o Generating rules > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/Makefile.rules [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o [ 23%] Linking CXX static library ../../../lib/libkineto.a [ 23%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/utility.cc.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_at_kern_autogen.cpp.o [ 23%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_bn_kern_autogen.cpp.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/channel-shuffle-nc.c.o [ 23%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4-minmax-fp32-scalar-imagic.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/constant-pad-nd.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4-minmax-fp32-scalar-lrintf.c.o [ 24%] Built target sleefdetsse2 [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_shuffle.cpp.o [ 24%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDACachingAllocator.cpp.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i8.cu [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/ref_softmax.cpp.o [ 24%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDADeviceAssertionHost.cpp.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x2-minmax-fp32-scalar-imagic.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x2-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/loop.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/convolution-nchw.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/convolution-nhwc.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x2-minmax-fp32-scalar-lrintf.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4-minmax-fp32-scalar-fmagic.c.o [ 24%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAException.cpp.o [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/simple_concat.cpp.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/deconvolution-nhwc.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4-minmax-fp32-scalar-lrintf.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/operators/deconvolution-nhwc.c: In function ‘setup_deconvolution2d_nhwc’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/operators/deconvolution-nhwc.c:1110:34: warning: operation on ‘deconvolution_op->output_width’ may be undefined [-Wsequence-point] 1110 | deconvolution_op->output_width = deconvolution_op->output_width = xnn_compute_deconvolution_output_dimension( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1111 | input_width, deconvolution_op->padding_left + deconvolution_op->padding_right, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1112 | adjustment_width, deconvolution_op->kernel_width, deconvolution_op->dilation_width, deconvolution_op->stride_width); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/fully-connected-nc.c.o [ 24%] Built target kineto [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x2-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 24%] Built target dispavx_obj [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/global-average-pooling-ncw.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 24%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/code_generator.cc.o [ 24%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/command_line_interface.cc.o [ 24%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx2_vnni_u8_copy_sum_bt_kern_autogen.cpp.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/global-average-pooling-nwc.c.o [ 24%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAFunctions.cpp.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/lut-elementwise-nc.c.o [ 24%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4-minmax-fp32-scalar-imagic.c.o [ 25%] Built target sleefsse2 [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/max-pooling-nhwc.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/prelu-nc.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nchw.c.o [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/simple_layer_normalization.cpp.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nhwc.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4-minmax-fp32-scalar-lrintf.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x2-minmax-fp32-scalar-fmagic.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/slice-nd.c.o [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/simple_resampling.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/uv/utility.cc:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/softmax-nc.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/transpose-nd.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/unary-elementwise-nc.c.o [ 25%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAMallocAsyncAllocator.cpp.o [ 25%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAMiscFunctions.cpp.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x2-minmax-fp32-scalar-imagic.c.o [ 25%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_enum.cc.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x2-minmax-fp32-scalar-lrintf.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o [ 25%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/CUDAStream.cpp.o [ 25%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o [ 25%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/impl/CUDAGuardImpl.cpp.o [ 25%] Building CXX object c10/cuda/CMakeFiles/c10_cuda.dir/impl/CUDATest.cpp.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_f32_copy_at_kern_autogen.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx2_f32_copy_at_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx2_f32_copy_at_kern_autogen.cpp:29:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 29 | void jit_avx2_f32_copy_at_kern::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/operators.dir/src/operators/unpooling-nhwc.c.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc: In member function ‘virtual bool google::protobuf::compiler::CodeGenerator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc:56:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 56 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc: In function ‘void google::protobuf::compiler::ParseGeneratorParameter(const std::string&, std::vector, std::__cxx11::basic_string > >*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/code_generator.cc:106:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 106 | for (int i = 0; i < parts.size(); i++) { | ~~^~~~~~~~~~~~~~ Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f16.cu [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/simple_sum.cpp.o [ 25%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_bf16.cu [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/zero_point_utils.cpp.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_bf16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i64.cu [ 25%] Built target operators Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f64.cu [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_bf16.cu [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-imagic.c.o Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_bf16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:768:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 768 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:764:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 764 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_bf16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.cu Copying sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_bf16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i8.cu [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In function ‘bool google::protobuf::compiler::{anonymous}::TryCreateParentDirectory(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:175:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 175 | for (int i = 0; i < parts.size() - 1; i++) { | ~~^~~~~~~~~~~~~~~~~~ [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/f32/gemm_utils_f32.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:772:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 772 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘void google::protobuf::compiler::CommandLineInterface::MemoryOutputStream::UpdateMetadata(size_t, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:640:29: warning: comparison of integer expressions of different signedness: ‘google::protobuf::int32’ {aka ‘int’} and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 640 | if (annotation->begin() >= insertion_offset) { | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In destructor ‘virtual google::protobuf::compiler::CommandLineInterface::MemoryOutputStream::~MemoryOutputStream()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:735:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 735 | for (int i = 0; i < data_.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p1c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:760:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 760 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_rndnu_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘int google::protobuf::compiler::CommandLineInterface::Run(int, const char* const*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:944:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 944 | for (int i = 0; i < output_directives_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1025:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1025 | for (int i = 0; i < parsed_files.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::InitializeDiskSourceTree(google::protobuf::compiler::DiskSourceTree*, google::protobuf::DescriptorDatabase*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1049:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1049 | for (int i = 0; i < proto_path_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘google::protobuf::compiler::CommandLineInterface::ParseArgumentStatus google::protobuf::compiler::CommandLineInterface::ParseArguments(int, const char* const*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1366:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1366 | for (int i = 0; i < arguments.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1371:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1371 | if (i + 1 == arguments.size() || arguments[i + 1][0] == '-') { | ~~~~~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:765:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 765 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘google::protobuf::compiler::CommandLineInterface::ParseArgumentStatus google::protobuf::compiler::CommandLineInterface::InterpretArgument(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:1579:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1579 | for (int i = 0; i < parts.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::GenerateDependencyManifestFile(const std::vector&, const GeneratorContextMap&, google::protobuf::compiler::DiskSourceTree*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2107:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2107 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2118:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2118 | for (int i = 0; i < relative_output_filenames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2141:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2141 | for (int i = 0; i < output_filenames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2143:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2143 | if (i == output_filenames.size() - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::GeneratePluginOutput(const std::vector&, const std::string&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2184:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2184 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘bool google::protobuf::compiler::CommandLineInterface::WriteDescriptorSet(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2336:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2336 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2347:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2347 | for (int i = 0; i < parsed_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc: In member function ‘void google::protobuf::compiler::CommandLineInterface::PrintFreeFieldNumbers(const google::protobuf::Descriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/command_line_interface.cc:2519:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2519 | for (int i = 0; i < nested_messages.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:769:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 769 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_at_kern_part1_autogen.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_copy_at_kern::generate_part1(const Xbyak::Label&, const Xbyak::Label&, const Xbyak::Label&, const Xbyak::Label&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_at_kern_part1_autogen.cpp:51:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 51 | void jit_avx512_core_f32_copy_at_kern::generate_part1(const Xbyak::Label &l4000, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:773:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 773 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_enum_field.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_enum.cc:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 25%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_extension.cc.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-rndnu-scalar.c.o [ 25%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p2c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:761:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 761 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_rndnu_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 25%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_file.cc.o [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_gemm_s8u8s32_kern.cpp.o [ 25%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:766:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 766 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 25%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_gemv_s8x8s32.cpp.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/f32/ref_gemm_f32.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:770:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 770 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/gemm.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:774:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 774 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p4c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:762:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 762 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_rndnu_ukernel_9p4c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:856:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 856 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:860:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 860 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/gemm_pack.cpp.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_an_kern_autogen.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:864:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 864 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:857:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 857 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_enum_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_enum_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_extension.cc:37: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/s8x8s32/ref_gemm_s8x8s32.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.h:44, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In constructor ‘google::protobuf::compiler::cpp::FileGenerator::FileGenerator(const google::protobuf::FileDescriptor*, const google::protobuf::compiler::cpp::Options&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:112:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 112 | for (int i = 0; i < msgs.size(); i++) { | ~~^~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/gemm/s8x8s32/simple_gemm_s8s8s32.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:130:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:141:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 141 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateMacroUndefs(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:164:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 164 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:167:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 167 | for (int i = 0; i < GOOGLE_ARRAYSIZE(kMacroNames); ++i) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:174:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (int i = 0; i < names_to_undef.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:861:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 861 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateGlobalSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:627:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 627 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:632:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 632 | for (int i = 0; i < extension_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:638:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 638 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:658:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 658 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:684:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 684 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:689:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 689 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:698:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 698 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:707:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 707 | for (int i = 0; i < extension_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:718:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 718 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateReflectionInitializationCode(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:774:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 774 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:785:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 785 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:797:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 797 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:844:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 844 | for (int i = 0; i < file_data.size();) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:845:48: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 845 | for (int j = 0; j < kBytesPerLine && i < file_data.size(); ++i, ++j) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:854:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 854 | for (int i = 0; i < file_data.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateInitForSCC(const google::protobuf::compiler::SCC*, const CrossFileReferences&, google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:941:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 941 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:968:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 968 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateTables(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1033:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1033 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1056:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1056 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1076:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1076 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1100:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1100 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1117:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1117 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/memory-planner.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateForwardDeclarations(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1190:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1190 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u8.cu [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1204:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1204 | for (int i = 0; i < classes.size(); i++) { | ~~^~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1209:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1209 | for (int i = 0; i < enums.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f32.cu [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-imagic.c.o [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f64.cu [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateMessageDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1429:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1429 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateEnumDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1441:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1441 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateServiceDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1450:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1450 | for (int i = 0; i < service_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateInlineFunctionDefinitions(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1484:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1484 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1496:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1496 | for (int i = 0; i < message_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc: In member function ‘void google::protobuf::compiler::cpp::FileGenerator::GenerateProto2NamespaceEnumSpecializations(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.cc:1513:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1513 | for (int i = 0; i < enum_generators_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_bf16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:862:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 862 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:858:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 858 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:865:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 865 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_bf16.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:866:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 866 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_bf16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.cu [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/cpu_matmul_list.cpp.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_bf16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.cu [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/runtime.c.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.cu [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_at_kern_autogen.cpp.o Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.cu Copying all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i8.cu [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 26%] Built target sleefpurec_scalar [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_generator.cc.o [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_helpers.cc.o [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/gemm_bf16_matmul.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x1.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/abs.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:386:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 386 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/add2.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:387:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 387 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x3.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:388:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 388 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/argmax-pooling-2d.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:389:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 389 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/gemm_f32_matmul.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:145:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 145 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:146:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 146 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/gemm_x8s8s32x_matmul.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/average-pooling-2d.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c.o [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_map_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:147:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 147 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/bankers-rounding.c.o [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/ref_matmul.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/ceiling.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:141:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/matmul/ref_matmul_int8.cpp.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:142:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 142 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/clamp.c.o [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_message.cc.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {Fd, Fd, Fd, Fd}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from ‘tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:219:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:154:12: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | if (rv != iov.iov_len) { | ~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:143:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 143 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from ‘tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:274:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:107:12: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 107 | if (rv != iov.iov_len) { | ~~~^~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/concatenate.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_file.h:44, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_generator.cc:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_generator.cc: In member function ‘virtual bool google::protobuf::compiler::cpp::CppGenerator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_generator.cc:83:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 83 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/busy_polling_loop.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of ‘ssize_t tensorpipe::RingBufferRole::write(const void*, size_t) [with int NumRoles = 2; int RoleIdx = 1; ssize_t = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:22:29: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:270:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 270 | TP_DCHECK_EQ(ret, size); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘void tensorpipe::{anonymous}::loadFdsFromArray(int*, std::index_sequence, Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; std::index_sequence = std::integer_sequence]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:171:19: required from ‘tensorpipe::Error tensorpipe::recvFromSocket(int, T&, T&, Fds& ...) [with T = unsigned int; Fds = {Fd, Fd, Fd, Fd}]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:253:26: required from ‘tensorpipe::Error tensorpipe::Socket::recvPayloadAndFds(T&, T&, Fds& ...) [with T = unsigned int; Fds = {tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd, tensorpipe::Fd}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:219:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:58:8: warning: unused variable ‘dummy’ [-Wunused-variable] 58 | auto dummy = {(loadOneFdFromArray(array[Idxs], fds), 0)...}; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h: In instantiation of ‘void tensorpipe::{anonymous}::saveFdsToArray(int*, std::index_sequence, const Fds& ...) [with long unsigned int ...Idxs = {0, 1, 2, 3}; Fds = {int, int, int, int}; std::index_sequence = std::integer_sequence]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:96:17: required from ‘tensorpipe::Error tensorpipe::sendToSocket(int, const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:243:24: required from ‘tensorpipe::Error tensorpipe::Socket::sendPayloadAndFds(const T&, const T&, const Fds& ...) [with T = unsigned int; Fds = {int, int, int, int}; typename std::enable_if::value, bool>::type = false]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:274:41: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:41:8: warning: unused variable ‘dummy’ [-Wunused-variable] 41 | auto dummy = {(saveOneFdToArray(array[Idxs], fds), 0)...}; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:25:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:149:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 149 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h: In instantiation of ‘ssize_t tensorpipe::RingBufferRole::read(void*, size_t) [with int NumRoles = 2; int RoleIdx = 0; ssize_t = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:114:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:248:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 248 | TP_DCHECK_EQ(ret, size); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc: In function ‘std::string google::protobuf::compiler::cpp::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:279:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 279 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc: In function ‘std::string google::protobuf::compiler::cpp::FilenameIdentifier(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:738:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 738 | for (int i = 0; i < filename.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/context_impl.cc:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc: In member function ‘google::protobuf::compiler::cpp::MessageAnalysis google::protobuf::compiler::cpp::MessageSCCAnalyzer::GetSCCAnalysis(const google::protobuf::compiler::SCC*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.cc:1167:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1167 | for (int i = 0; i < scc->descriptors.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:25:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:150:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 150 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/convert.c.o [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:25:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:151:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 151 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:196:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 196 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/convolution-2d.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:47: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/copy.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_message_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:197:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 197 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c.o [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc.o [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_primitive_field.cc.o [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_service.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:198:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 198 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u32.cu [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/cpp/cpp_string_field.cc.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i64.cu [ 26%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_doc_comment.cc.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u32.cu [ 26%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/deconvolution-2d.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i64.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:192:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 192 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_bf16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c.o Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.cu Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:193:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 193 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i8.cu [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_bn_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/depth-to-space.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:194:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 194 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_map_field.h:37, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_map_field.cc:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/depthwise-convolution-2d.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:24:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:200:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 200 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:24:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:201:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 201 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/divide.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/elu.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:24:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:202:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 202 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/shm/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_bt_kern_autogen.cpp.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_enum.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/even-split.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/floor.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In function ‘std::string google::protobuf::compiler::cpp::{anonymous}::ConditionalToCheckBitmasks(const std::vector&, bool, google::protobuf::StringPiece)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:82:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 82 | for (int i = 0; i < masks.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/fully-connected.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1585:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1585 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::{anonymous}::ColdChunkSkipper::OnStartChunk(int, int, const std::string&, google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:512:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 512 | while (limit_chunk_ < chunks_.size() && IsColdChunk(limit_chunk_)) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/global-average-pooling.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘int google::protobuf::compiler::cpp::MessageGenerator::GenerateFieldMetadata(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:1836:26: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1836 | for (; extension_idx < sorted_extensions.size() && | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:1837:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1837 | (i == sorted.size() || | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:1849:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1849 | if (i == sorted.size()) break; | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘std::pair google::protobuf::compiler::cpp::MessageGenerator::GenerateOffsets(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2449:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2449 | for (int i = 0; i < has_bit_indices_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1594:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1594 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefdp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateConstructorBody(google::protobuf::io::Printer*, std::vector, bool) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2600:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2600 | for (int i = 0; i < optimized_order_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateStructors(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2721:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2721 | for (int i = 0; i < optimized_order_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateClear(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:2884:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2884 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateSwap(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3068:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 3068 | for (int i = 0; i < HasBitsSize() / 4; ++i) { | ~~^~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_comp_bf16_s8.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3079:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3079 | for (int i = 0; i < optimized_order_.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefsp.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateClassSpecificMergeFrom(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3208:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3208 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateSerializeWithCachedSizesBody(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3641:12: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3641 | i < ordered_fields.size() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3641:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3641 | i < ordered_fields.size() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3642:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3642 | if ((j == sorted_extensions.size()) || | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc: In member function ‘void google::protobuf::compiler::cpp::MessageGenerator::GenerateByteSize(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3832:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3832 | for (int chunk_index = 0; chunk_index < chunks.size(); chunk_index++) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message.cc:3859:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3859 | for (int j = 0; j < chunk.size(); j++) { | ~~^~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_comp_f32_s8.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1603:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1603 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/hardswish.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1576:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1576 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_1x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1586:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1586 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/leaky-relu.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_enum_field.cc.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_field_base.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/subgraph/leaky-relu.c: In function ‘xnn_define_leaky_relu’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/subgraph/leaky-relu.c:241:20: warning: comparison between ‘enum xnn_compute_type’ and ‘enum xnn_datatype’ [-Wenum-compare] 241 | if (compute_type == xnn_datatype_qint8 || compute_type == xnn_datatype_quint8) { | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/subgraph/leaky-relu.c:241:58: warning: comparison between ‘enum xnn_compute_type’ and ‘enum xnn_datatype’ [-Wenum-compare] 241 | if (compute_type == xnn_datatype_qint8 || compute_type == xnn_datatype_quint8) { | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc: In member function ‘virtual void google::protobuf::compiler::cpp::PaddingOptimizer::OptimizeLayout(std::vector*, const google::protobuf::compiler::cpp::Options&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:140:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 140 | for (int i = 0; i < fields->size(); ++i) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:178:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 178 | for (int i = 0; i < aligned_to_1[f].size(); i += 4) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:180:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 180 | for (int j = i; j < aligned_to_1[f].size() && j < i + 4; ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:192:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 192 | for (int i = 0; i < aligned_to_4[f].size(); i += 2) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:194:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 194 | for (int j = i; j < aligned_to_4[f].size() && j < i + 2; ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:197:13: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 197 | if (i == aligned_to_4[f].size() - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_padding_optimizer.cc:217:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 217 | for (int i = 0; i < aligned_to_8[f].size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1595:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1595 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-lrintf.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/max-pooling-2d.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_message_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1604:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1604 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-rndnu-scalar.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/maximum2.c.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1577:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1577 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_primitive_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_primitive_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_service.cc:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_field.h:42, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_string_field.h:40, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_string_field.cc:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In member function ‘void google::protobuf::compiler::cpp::NamespaceOpener::ChangeTo(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:796:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 796 | for (int i = common_idx; i < name_stack_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/minimum2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1587:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1587 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 27%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/rempitab.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-imagic.c.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::FieldDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:736:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 749 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:737:68: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:738:72: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::EnumValueDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:740:19: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h: In instantiation of ‘static std::string google::protobuf::compiler::cpp::Formatter::Payload(const Descriptor*) [with Descriptor = google::protobuf::OneofDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:742:73: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/cpp/cpp_helpers.h:749:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 27%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefld.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1596:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1596 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/multiply2.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_an_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1605:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1605 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_comp_s8_s8.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/negate.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/prelu.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1578:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1578 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_2x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/sigmoid.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/softmax.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1588:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1588 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_field_base.cc: In function ‘bool google::protobuf::compiler::csharp::AllPrintableAscii(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_field_base.cc:309:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 309 | for(int i = 0; i < text.size(); i++) { | ~~^~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/space-to-depth-2d.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_at_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1597:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1597 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-lrintf.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/square.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/square-root.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i64.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/squared-difference.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f16.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-constant-pad.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1606:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1606 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u32.cu [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_bf16.cpp.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_bf16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i32.cu [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f16.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_bf16.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-rndnu-scalar.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-reshape.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-resize-bilinear-2d.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-slice.c.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.cu Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.cu [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o Copying broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i8.cu /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1579:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1579 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f16.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/static-transpose.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/subtract.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/unpooling-2d.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/subgraph/validation.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1589:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1589 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1598:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1598 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/subgraph.dir/src/tensor.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_bn_kern_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:17: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 16 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: at offset 8 into object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpxorq(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2271:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_gemv_s8x8s32_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:51: note: object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_kernel_gemv_s8x8s32_kern.cpp:327:39: note: object ‘’ of size 8 327 | vpxorq(zmm_acc(i), zmm_acc(i), zmm_acc(i)); | ~~~~~~~^~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_f16.cpp.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_bf16.cpp.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_bt_kern_autogen.cpp.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_f32.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1607:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1607 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-rndnu-scalar.c.o [ 27%] Built target subgraph [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1580:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1580 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_3x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1590:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1590 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-lrintf.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1599:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1599 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1608:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1608 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1581:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1581 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_3x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 27%] Building C object sleef/src/libm/CMakeFiles/sleef.dir/sleefqp.c.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_generator.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1591:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1591 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1600:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1600 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1609:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1609 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b0_b_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-rndnu-scalar.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1582:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1582 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1592:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1592 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1601:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1601 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_helpers.cc.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1610:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1610 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-rndnu-scalar.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1583:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1583 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_rndnu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_s32.cpp.o [ 27%] Linking C static library ../../lib/libsleef.a [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_s8.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_generator.cc: In member function ‘virtual bool google::protobuf::compiler::csharp::Generator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_generator.cc:75:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 75 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x2-minmax-rndnu-scalar.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b0_c_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/binary-elementwise-config.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-fp32-scalar-imagic.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i32.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/init.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/params.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u32.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/transpose-config.c.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u32.cu In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/context_impl.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u8.cu In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u8.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_bf16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.cu [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_map_field.cc.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.cu [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_message.cc.o Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.cu Copying reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.cu [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4-minmax-rndnu-scalar.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b0_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_f32_u8.cpp.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_message_field.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc: In function ‘std::string google::protobuf::compiler::csharp::UnderscoresToCamelCase(const std::string&, bool, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc:148:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 148 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc: In function ‘std::string google::protobuf::compiler::csharp::ShoutyToPascalCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_helpers.cc:201:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/XNNPACK.dir/src/x8-lut-config.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-fp32-scalar-fmagic.c.o [ 27%] Linking CXX static library ../../lib/libXNNPACK.a [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_s32.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-fp32-scalar-lrintf.c.o [ 27%] Built target sleef [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4-minmax-rndnu-scalar.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b0_r_gemm_s8u8s32_kern_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_b_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-fp32-scalar-imagic.c.o [ 27%] Built target XNNPACK [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_primitive_field.cc.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_reflection_class.cc.o [ 27%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x2-minmax-rndnu-scalar.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_c_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx_kernel_sgemm_kern_part2_autogen.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx_kernel_sgemm_kern::generate_part2(Xbyak::Label&, Xbyak::Label&, Xbyak::Label&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx_kernel_sgemm_kern_part2_autogen.cpp:26:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 26 | void jit_avx_kernel_sgemm_kern::generate_part2( | ^~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-fp32-scalar-lrintf.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_s8.cpp.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/reorder/cpu_reorder_regular_u8.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc: In member function ‘void google::protobuf::compiler::csharp::MessageGenerator::GenerateWriteToBody(google::protobuf::io::Printer*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc:573:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 573 | for (int i = 0; i < fields_by_number().size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc: In member function ‘void google::protobuf::compiler::csharp::MessageGenerator::GenerateMainParseLoop(google::protobuf::io::Printer*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc:716:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 716 | for (int i = 0; i < fields_by_number().size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc: In member function ‘int google::protobuf::compiler::csharp::MessageGenerator::GetPresenceIndex(const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/csharp/csharp_message.cc:758:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 758 | for (int i = 0; i < fields_by_number().size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4-minmax-rndnu-scalar.c.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_repeated_enum_field.cc.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/brgemm_cell_common.cpp.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-fp32-scalar-fmagic.c.o [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_gemm_s8u8s32_kern_autogen.cpp.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_repeated_message_field.cc.o [ 27%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_repeated_primitive_field.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/transport/ibv/utility.cc:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:48:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, tensorpipe::Fd&)’ defined but not used [-Wunused-function] 48 | void loadOneFdFromArray(int& src, Fd& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:44:6: warning: ‘void tensorpipe::{anonymous}::loadOneFdFromArray(int&, int&)’ defined but not used [-Wunused-function] 44 | void loadOneFdFromArray(int& src, int& dst) { | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:31:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const tensorpipe::Fd&)’ defined but not used [-Wunused-function] 31 | void saveOneFdToArray(int& dst, const Fd& src) { | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/socket.h:27:6: warning: ‘void tensorpipe::{anonymous}::saveOneFdToArray(int&, const int&)’ defined but not used [-Wunused-function] 27 | void saveOneFdToArray(int& dst, const int& src) { | ^~~~~~~~~~~~~~~~ [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-fp32-scalar-imagic.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-fp32-scalar-lrintf.c.o [ 27%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x2-minmax-rndnu-scalar.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.cu [ 27%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_kernel_r_gemm_s8u8s32_kern_autogen.cpp.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.cu [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_bf16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_bf16.cu [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-fp32-scalar-imagic.c.o Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.cu Copying reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_bf16.cu [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4-minmax-rndnu-scalar.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-scalar-fmagic.c.o [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_an_kern_autogen.cpp.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-scalar-lrintf.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-scalar.c.o [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_at_kern_autogen.cpp.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-scalar-signed64.c.o [ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_source_generator_base.cc.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-scalar-unsigned32.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-scalar-unsigned64.c.o [ 28%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/csharp/csharp_wrapper_field.cc.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-scalar.c.o [ 28%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x1.c.o [ 28%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_bn_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:166:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 166 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_bt_kern_autogen.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:167:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 167 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/cell_common.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:168:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 168 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:221:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 221 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_doc_comment.cc.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_context.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:222:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 222 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:223:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 223 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-scalar-x1.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-scalar-x2.c.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x1.c:20:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:339:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 339 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x2.c:20:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:340:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 340 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-scalar-x4.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x4.c:20:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:341:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 341 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:65:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 65 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_andxor_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_an_kern_autogen.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x2.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:66:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 66 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_andxor_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-andxor-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:67:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 67 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_andxor_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:69:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 69 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_select_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:70:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 70 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_select_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum_field.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-scalar-select-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:71:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 71 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__scalar_select_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:117:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 117 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:118:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 118 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:119:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 119 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_doc_comment.cc: In function ‘void google::protobuf::compiler::java::WriteDocCommentBodyForLocation(google::protobuf::io::Printer*, const google::protobuf::SourceLocation&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_doc_comment.cc:125:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 125 | for (int i = 0; i < lines.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:146:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 146 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x2.c.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum_field_lite.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:147:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 147 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:148:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_enum_lite.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-scalar-imagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-scalar-imagic-c1.c:26:47: warning: argument 11 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-scalar-imagic-c1.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:112:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 112 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:115:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 115 | DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9p8x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_at_kern_autogen.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u8.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-scalar-imagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-scalar-imagic-c1.c:25:47: warning: argument 10 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-scalar-imagic-c1.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:130:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 130 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:133:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 133 | DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:582:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 582 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_bn_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:586:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 586 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_extension.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc: In member function ‘void google::protobuf::compiler::java::Context::InitializeFieldGeneratorInfoForFields(const std::vector&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc:131:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 131 | for (int i = 0; i < fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc:134:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 134 | for (int j = i + 1; j < fields.size(); ++j) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_context.cc:153:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (int i = 0; i < fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/cell_gru.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:590:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 590 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p1c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:578:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 578 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_rndnu_ukernel_9p1c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/cell_gru_lbr.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc: In member function ‘void google::protobuf::compiler::java::EnumGenerator::Generate(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:88:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 88 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:96:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < aliases_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:202:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 202 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc: In member function ‘bool google::protobuf::compiler::java::EnumGenerator::CanUseEnumValues()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum.cc:376:32: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 376 | if (canonical_values_.size() != descriptor_->value_count()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_avx_u8_copy_sum_bt_kern_autogen.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_extension_lite.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:583:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 583 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:587:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 587 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_gru.cpp.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:591:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 591 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-rndnu-scalar.c.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p2c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:579:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 579 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_rndnu_ukernel_9p2c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:584:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 584 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_b_gemm_s8u8s32_kern_autogen.cpp.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc: In member function ‘void google::protobuf::compiler::java::EnumLiteGenerator::Generate(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc:87:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 87 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc:110:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 110 | for (int i = 0; i < aliases_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_enum_lite.cc:171:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 171 | for (int i = 0; i < canonical_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:588:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 588 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:592:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 592 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_gru_lbr.cpp.o [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_lstm.cpp.o [ 29%] Built target dnnl_graph_backend_dnnl [ 29%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_c_gemm_s8u8s32_kern_autogen.cpp.o [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_file.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p4c-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:580:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 580 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_rndnu_ukernel_9p4c__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 29%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_generator.cc.o [ 29%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:638:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 638 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p1c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_generator_factory.cc.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:642:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 642 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p1c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_lstm_projection.cpp.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p1c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:646:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 646 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p1c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_helpers.cc.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:639:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 639 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p2c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_gemm_s8u8s32_kern_autogen.cpp.o [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_postgemm_rnn.cpp.o [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_map_field.cc.o [ 30%] Linking CXX static library ../../../lib/libtensorpipe.a [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c.o [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_map_field_lite.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:643:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 643 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p2c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_file.cc: In function ‘bool google::protobuf::compiler::java::{anonymous}::CollectExtensions(const google::protobuf::Message&, FieldDescriptorSet*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_file.cc:96:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 96 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p2c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:647:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 647 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p2c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Linking CXX shared library ../../lib/libc10_cuda.so [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc: In member function ‘virtual bool google::protobuf::compiler::java::JavaGenerator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:76:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 76 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:129:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 129 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:131:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 131 | for (int j = 0; j < file_generators.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:138:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 138 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:176:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 176 | for (int i = 0; i < file_generators.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:188:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 188 | for (int i = 0; i < all_files.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:199:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 199 | for (int i = 0; i < all_annotations.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:640:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 640 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p4c__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b0_r_gemm_s8u8s32_kern_autogen.cpp.o [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_b_gemm_s8u8s32_kern_autogen.cpp.o [ 30%] Built target c10_cuda [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_c_gemm_s8u8s32_kern_autogen.cpp.o [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_gemm_s8u8s32_kern_autogen.cpp.o [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_kernel_r_gemm_s8u8s32_kern_autogen.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_generator.cc:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc: In function ‘bool google::protobuf::compiler::java::{anonymous}::IsForbidden(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc:93:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 93 | for (int i = 0; i < GOOGLE_ARRAYSIZE(kForbiddenWordList); ++i) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc: In function ‘std::string google::protobuf::compiler::java::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc:162:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 162 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc: In function ‘bool google::protobuf::compiler::java::AllAscii(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.cc:492:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 492 | for (int i = 0; i < text.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_file.cc:45: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:644:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 644 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p4c__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Built target tensorpipe [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_an_kern_autogen.cpp.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p4c-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:648:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 648 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p4c__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x1.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:479:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 479 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message.cc.o [ 30%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_builder.cc.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x2.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:480:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 480 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x3.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:481:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 481 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_at_kern_autogen.cpp.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x4.c:21:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-scalar-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:482:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 482 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:248:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 248 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:249:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 249 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/common/cuda_buffer.cc.o [ 30%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_xth/channel_impl.cc.o [ 30%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_xth/context_impl.cc.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:250:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 250 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:244:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 244 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:245:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 245 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:24:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:246:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 246 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda_buffer.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 30%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_xth/factory.cc.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f32.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c.o [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_bn_kern_autogen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:25:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:252:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 252 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_an_kern_autogen.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_f32_copy_an_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/f32/jit_avx512_core_f32_copy_an_kern_autogen.cpp:29:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 29 | void jit_avx512_core_f32_copy_an_kern::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 30%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/ref_rnn.cpp.o [ 30%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:25:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:253:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 253 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message_builder.cc: In member function ‘void google::protobuf::compiler::java::MessageBuilderGenerator::GenerateDescriptorMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message_builder.cc:225:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message_builder.cc:250:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc: In member function ‘void google::protobuf::compiler::java::ImmutableMessageGenerator::GenerateMessageSerializationMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc:614:44: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 614 | i < descriptor_->field_count() || j < sorted_extensions.size();) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc:617:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 617 | } else if (j == sorted_extensions.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc: In member function ‘void google::protobuf::compiler::java::ImmutableMessageGenerator::GenerateDescriptorMethods(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_message.cc:830:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 830 | for (int i = 0; i < map_fields.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:25:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:254:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 254 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_basic/channel_impl.cc.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_builder_lite.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:299:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 299 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:300:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 300 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-fmagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:301:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 301 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_fmagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:295:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 295 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:296:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 296 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/context_impl.cc:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:23:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-imagic-c4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:297:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 297 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_imagic_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_field.cc.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_bt_kern_autogen.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:24:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:303:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 303 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:24:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:304:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 304 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_an_kern_autogen.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:24:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-scalar-lrintf-c4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:305:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 305 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__scalar_lrintf_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:926:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 926 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:935:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 935 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-lrintf.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_at_kern_autogen.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-rndnu-scalar.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:944:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 944 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:917:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 917 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_1x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/rnn/rnn_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:927:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 927 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/jit_utils/jit_utils.cpp.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/CMakeFiles/dnnl_cpu.dir/jit_utils/linux_perf/linux_perf.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.cc:111:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:936:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 936 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_xth::ChannelImpl; TOp = tensorpipe::channel::cuda_xth::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_xth/channel_impl.cc:211:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:945:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 945 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:918:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 918 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_1x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_bn_kern_autogen.cpp.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm/s8x8s32/jit_sse41_u8_copy_sum_bt_kern_autogen.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/gemm/gemm.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_rnn_list.cpp:19: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_gru_cell_postgemm_1_bwd.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/postgemm_dispatcher.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.hpp:34: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:928:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 928 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-imagic.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:937:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 937 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ [ 31%] Built target ATEN_CUDA_FILES_GEN_TARGET [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm_bf16_convolution.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:946:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 946 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/gemm_bf16_inner_product.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-rndnu-scalar.c.o [ 31%] Built target ATEN_CPU_FILES_GEN_TARGET [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:919:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 919 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_2x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_basic/context_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:929:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 929 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_basic/factory.cc.o [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/common/cuda_loop.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-imagic.c.o [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_ipc/channel_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:938:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 938 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:947:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 947 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:920:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 920 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_2x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/injector_utils.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-fmagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkSendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkSendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.cc:113:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:930:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 930 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkRecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_basic::ChannelImpl; TOp = tensorpipe::channel::cuda_basic::ChunkRecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.cc:376:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:939:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 939 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:948:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 948 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-rndnu-scalar.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:921:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 921 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_3x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:931:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 931 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_field_lite.cc.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_message_lite.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:940:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 940 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/context_impl.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-lrintf.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/jit_uni_binary_injector.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda_loop.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/jit_uni_eltwise_injector.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:949:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 949 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-rndnu-scalar.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:922:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 922 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_3x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-fmagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:932:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 932 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x2__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/channel_impl.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_basic/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-imagic.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:941:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 941 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x2__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-lrintf.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:950:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 950 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x2__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-rndnu-scalar.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x2-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:923:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 923 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_4x2__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-fmagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-fmagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-fmagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:933:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 933 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4__scalar_fmagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc: In member function ‘void tensorpipe::channel::cuda_ipc::ChannelImpl::writeDescriptor(ChunkSendOpIter)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:263:33: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 263 | if (localOutboxesSent_.size() <= op.deviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:257:18: warning: unused variable ‘cudaLib’ [-Wunused-variable] 257 | const CudaLib& cudaLib = context_->getCudaLib(); | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:417:53: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 417 | if (impl.remoteOutboxesReceived_.size() <= | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ 418 | opIter->remoteDeviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc: In member function ‘void tensorpipe::channel::cuda_ipc::ChannelImpl::copyFromStagingToTarget(ChunkRecvOpIter)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:434:36: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 434 | if (remoteOutboxesOpened_.size() <= op.remoteDeviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:437:56: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 437 | if (remoteOutboxesOpened_[op.remoteDeviceIdx].size() <= op.deviceIdx) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-imagic.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-imagic.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:942:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 942 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4__scalar_imagic) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-lrintf.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-lrintf.c:27:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-fp32-scalar-lrintf.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:951:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 951 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4__scalar_lrintf) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_ipc/context_impl.cc.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_name_resolver.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkSendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkSendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:134:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkRecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:57:20: required from ‘void tensorpipe::OpsStateMachine::advanceOperation(Iter) [with TSubject = tensorpipe::channel::cuda_ipc::ChannelImpl; TOp = tensorpipe::channel::cuda_ipc::ChunkRecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.cc:346:35: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-rndnu-scalar.c:26:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4-minmax-rndnu-scalar.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:924:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 924 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_rndnu_ukernel_4x4__scalar) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-fp32-scalar-fmagic.c.o [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_ipc/factory.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-fp32-scalar-imagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x2-minmax-rndnu-scalar.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-fmagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-imagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4-minmax-rndnu-scalar.c.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/injectors/jit_uni_postops_injector.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-fmagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-imagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x2-minmax-rndnu-scalar.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_primitive_field.cc.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_primitive_field_lite.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/channel_impl.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-fp32-scalar-fmagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-fp32-scalar-imagic.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-fp32-scalar-lrintf.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u64.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4-minmax-rndnu-scalar.c.o [ 31%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_service.cc.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-fmagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-imagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x2-minmax-rndnu-scalar.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc: In function ‘std::tuple, std::allocator >, std::allocator, std::allocator > > >, std::vector >, std::allocator > > > > tensorpipe::channel::cuda_ipc::{anonymous}::getGlobalUuidsAndP2pSupport(const tensorpipe::NvmlLib&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:76:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 76 | for (int devIdx = 0; devIdx < numDevices; devIdx++) { | ~~~~~~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:78:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘unsigned int’ [-Wsign-compare] 78 | for (int otherDevIdx = 0; otherDevIdx < numDevices; otherDevIdx++) { | ~~~~~~~~~~~~^~~~~~~~~~~~ [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-fp32-scalar-fmagic.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-fp32-scalar-imagic.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc: In member function ‘void tensorpipe::channel::cuda_ipc::ContextImpl::allocateSlot(int, size_t, SlotAllocCallback)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:343:24: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 343 | if (outboxes_.size() <= deviceIdx) { | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/ip_convolution.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/context_impl_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.h:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc: In member function ‘tensorpipe::channel::cuda_ipc::ContextImpl::OutboxInfo tensorpipe::channel::cuda_ipc::ContextImpl::getLocalOutboxInfo(int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:30: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:222:3: note: in expansion of macro ‘__TP_DCHECK’ 222 | __TP_DCHECK(a) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:242:22: note: in expansion of macro ‘_TP_DCHECK’ 242 | #define TP_DCHECK(a) _TP_DCHECK(a) | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:3: note: in expansion of macro ‘TP_DCHECK’ 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:30: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:196:59: note: in definition of macro ‘__TP_EXPAND_OPD’ 196 | #define __TP_EXPAND_OPD(opd) TP_STRINGIFY(opd) << "(" << (opd) << ")" | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:222:3: note: in expansion of macro ‘__TP_DCHECK’ 222 | __TP_DCHECK(a) | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:242:22: note: in expansion of macro ‘_TP_DCHECK’ 242 | #define TP_DCHECK(a) _TP_DCHECK(a) | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc:369:3: note: in expansion of macro ‘TP_DCHECK’ 369 | TP_DCHECK(outboxes_.size() > deviceIdx); | ^~~~~~~~~ [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_1x1_conv_kernel_f32.cpp.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_1x1_convolution.cpp.o [ 31%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_conv_kernel_f32.cpp.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-fp32-scalar-lrintf.c.o [ 31%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4-minmax-rndnu-scalar.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-fp32-scalar-fmagic.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-fp32-scalar-imagic.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx2_convolution.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-fp32-scalar-lrintf.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x2-minmax-rndnu-scalar.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-fmagic.c.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_shared_code_generator.cc.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_string_field.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-imagic.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-fp32-scalar-lrintf.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4-minmax-rndnu-scalar.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-scalar-fmagic.c.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/common/ibv.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-scalar-lrintf.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-scalar.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-scalar-signed64.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_1x1_conv_kernel.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-scalar-unsigned32.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-scalar-unsigned64.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:64:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 64 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x2.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_1x1_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:65:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 65 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x4.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc: In member function ‘void google::protobuf::compiler::java::SharedCodeGenerator::GenerateDescriptors(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc:145:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 145 | for (int i = 0; i < file_data.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:102:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 102 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:66:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 66 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc:185:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 185 | for (int i = 0; i < dependencies.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_gdr/channel_impl.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:103:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 103 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:104:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 104 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-scalar-x1.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_helpers.h:41, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/java/java_shared_code_generator.cc:37: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h: In instantiation of ‘void google::protobuf::io::AnnotationProtoCollector::AddAnnotation(size_t, size_t, const std::string&, const std::vector&) [with AnnotationProto = google::protobuf::GeneratedCodeInfo; size_t = long unsigned int; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:85:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/io/printer.h:90:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 90 | for (int i = 0; i < path.size(); ++i) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x1.c:20:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:432:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 432 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x2.c:20:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:433:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 433 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x4.c:20:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:434:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 434 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:120:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 120 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_andxor_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:121:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 121 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_andxor_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-andxor-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:122:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 122 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_andxor_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_conv_kernel.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x1.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:124:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 124 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_select_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x2.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:125:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 125 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_select_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x4.c:20:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-scalar-select-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:126:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 126 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__scalar_select_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:51:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:52:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:53:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 53 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x1.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x1.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x1.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:80:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 80 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x2.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x2.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:81:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 81 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x4.c.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_gdr/context_impl.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x4.c:21:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-scalar-x4.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:82:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 82 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-scalar-c1.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_convolution.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-scalar-c2.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-scalar-c4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_common_resampling.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-scalar-c1.c:21:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-scalar-c1.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:91:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 91 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-scalar-x4.c:16:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 16 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-scalar-x4.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1132:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1132 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/java/java_string_field_lite.cc.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/js/js_generator.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x1.c.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_cuda.dir/channel/cuda_gdr/factory.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x2.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x3.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-rmaxabs/gen/s16-rmaxabs-scalar-x4.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x1.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x2.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x3.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s16-window/gen/s16-window-scalar-x4.c.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/js/well_known_types_embed.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-scalar-c1.c.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_enum.cc.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_enum_field.cc.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-scalar-c2.c.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_extension.cc.o [ 32%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_field.cc.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:619:20: note: object ‘dst’ of size 8 619 | void deq_h(Vmm dst, Xbyak::Address src, int in_len) { | ~~~~^~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-scalar-c4.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-lut32norm/u8-lut32norm-scalar.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-maxpool/u8-maxpool-9p8x-minmax-scalar-c1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-scalar-c1.c:21:38: warning: argument 9 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-scalar-c1.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:68:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 68 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:71:1: note: in expansion of macro ‘DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 71 | DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_u8_maxpool_minmax_ukernel_9p8x__scalar_c1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_conv_kernel.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::SendOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::SendOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.cc:188:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h: In instantiation of ‘TOp* tensorpipe::OpsStateMachine::findOperation(int64_t) [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::RecvOperation; int64_t = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:74:20: required from ‘void tensorpipe::OpsStateMachine::advanceAllOperations() [with TSubject = tensorpipe::channel::cuda_gdr::ChannelImpl; TOp = tensorpipe::channel::cuda_gdr::RecvOperation]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.cc:189:32: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:102:30: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘std::deque >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 102 | if (offset < 0 || offset >= ops_.size()) { | ~~~~~~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:49: warning: comparison of integer expressions of different signedness: ‘uint64_t’ {aka ‘long unsigned int’} and ‘int64_t’ {aka ‘long int’} [-Wsign-compare] 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:226:3: note: in expansion of macro ‘__TP_DCHECK_CMP’ 226 | __TP_DCHECK_CMP(a, b, op) | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:243:28: note: in expansion of macro ‘_TP_DCHECK_CMP’ 243 | #define TP_DCHECK_EQ(a, b) _TP_DCHECK_CMP(a, b, ==) | ^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/state_machine.h:106:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 106 | TP_DCHECK_EQ(op.sequenceNumber, sequenceNumber); | ^~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.h:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-rmax/u8-rmax-scalar.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-vclamp/u8-vclamp-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-scalar-x4.c:16:38: warning: argument 4 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 16 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-scalar-x4.c:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1143:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 1143 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1146:1: note: in expansion of macro ‘DECLARE_U8_VCLAMP_UKERNEL_FUNCTION’ 1146 | DECLARE_U8_VCLAMP_UKERNEL_FUNCTION(xnn_u8_vclamp_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/dnnl_thread.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm_bf16_inner_product.cpp:21: In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:789:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ In function ‘void dnnl::impl::utils::array_copy(T*, const T*, size_t) [with T = long int]’, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_blocking_desc(memory_desc_t&, const blocking_desc_t&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:792:22, inlined from ‘dnnl::impl::cpu::{anonymous}::transpose_md(dnnl::impl::memory_desc_t&)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/cpu_inner_product_pd.hpp:104:42: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:202:16: warning: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ specified bound between 18446744056529682432 and 18446744073709551608 exceeds maximum object size 9223372036854775807 [-Wstringop-overflow=] 202 | dst[i] = src[i]; | ~~~~~~~^~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-filterbank-accumulate/gen/u32-filterbank-accumulate-scalar-x1.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-filterbank-subtract/u32-filterbank-subtract-scalar-x2.c.o [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_1x1_convolution.cpp.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::vector > google::protobuf::compiler::js::{anonymous}::ParseLowerUnderscore(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:279:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 279 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::vector > google::protobuf::compiler::js::{anonymous}::ParseUpperCamel(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:298:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 298 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToLowerCamel(const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:313:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 313 | for (int i = 0; i < words.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToUpperCamel(const std::vector >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:327:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 327 | for (int i = 0; i < words.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToEnumCase(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:344:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 344 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::ToLower(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:359:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 359 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc: In function ‘std::vector > tensorpipe::channel::cuda_gdr::{anonymous}::matchGpusToIbvNics(tensorpipe::IbvLib&, tensorpipe::IbvDeviceList&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:177:40: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 177 | for (size_t deviceIdx = 0; deviceIdx < deviceList.size(); deviceIdx++) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/cuda.h:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/channel_impl.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/factory.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/strings.h:58:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 58 | for (int i = 0; i < uuid.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘std::string google::protobuf::compiler::js::{anonymous}::RelativeTypeName(const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1252:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1252 | for (int i = 0; i < type.size() && i < containing_type.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1252:40: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1252 | for (int i = 0; i < type.size() && i < containing_type.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1256:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1256 | if (type[i] == '.' && i >= package.size()) { | ~~^~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘void google::protobuf::compiler::js::{anonymous}::GenerateJspbFileOrder(const std::vector&, std::vector*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1522:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1522 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In function ‘bool google::protobuf::compiler::js::{anonymous}::GenerateJspbAllowedMap(const google::protobuf::compiler::js::GeneratorOptions&, const std::vector&, std::map >*, google::protobuf::compiler::SCCAnalyzer*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1572:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1572 | for (int i = 0; i < files_ordered.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::FindProvides(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1676:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1676 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::FindProvidesForFields(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1737:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1737 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::GenerateRequiresForLibrary(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1817:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1817 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::GenerateRequiresForExtensions(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&, std::set >*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:1860:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1860 | for (int i = 0; i < fields.size(); i++) { | ~~^~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_bf16.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x3.c.o [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u32-vlog/gen/u32-vlog-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘bool google::protobuf::compiler::js::GeneratorOptions::ParseFromOptions(const std::vector, std::__cxx11::basic_string > >&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3469:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3469 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘void google::protobuf::compiler::js::Generator::GenerateFilesInDepOrder(const google::protobuf::compiler::js::GeneratorOptions&, google::protobuf::io::Printer*, const std::vector&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3578:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3578 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/channel_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/context_impl_boilerplate.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc: In constructor ‘tensorpipe::channel::cuda_gdr::ContextImpl::ContextImpl(std::unordered_map >, tensorpipe::CudaLib, tensorpipe::IbvLib, tensorpipe::IbvDeviceList, tensorpipe::optional > >)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:536:32: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 536 | TP_THROW_ASSERT_IF(numGpus != gpuIdxToNicName->size()) | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/common/defs.h:27:39: note: in definition of macro ‘unlikely’ 27 | #define unlikely(x) __builtin_expect((x) ? 1 : 0, 0) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:536:5: note: in expansion of macro ‘TP_THROW_ASSERT_IF’ 536 | TP_THROW_ASSERT_IF(numGpus != gpuIdxToNicName->size()) | ^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:546:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 546 | for (int gpuIdx = 0; gpuIdx < actualGpuIdxToNicName.size(); gpuIdx++) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc: In member function ‘virtual bool google::protobuf::compiler::js::Generator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3744:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3744 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3766:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3766 | for (int i = 0; i < extensions.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3788:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3788 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/tensorpipe/tensorpipe/channel/cuda_gdr/context_impl.cc:560:40: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 560 | for (size_t deviceIdx = 0; deviceIdx < deviceList.size(); deviceIdx++) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u64-u32-vsqrtshift/u64-u32-vsqrtshift-scalar-cvtu32-sqrt-cvtu32f64-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/js/js_generator.cc:3938:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3938 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x1.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x1.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:28:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 28 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x2.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x2.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:29:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 29 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc: In member function ‘void google::protobuf::compiler::objectivec::EnumGenerator::GenerateHeader(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:126:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 126 | for (int i = 0; i < all_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc: In member function ‘void google::protobuf::compiler::objectivec::EnumGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:177:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | for (int i = 0; i < all_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:196:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 196 | for (int i = 0; i < text_blob.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:204:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 204 | for (int i = 0; i < all_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_enum.cc:245:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 245 | for (int i = 0; i < base_values_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x4.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x4.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:30:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 30 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x8.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x8.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:31:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 31 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-scalar-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x16.c:20:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 20 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-scalar-x16.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:32:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 32 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__scalar_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 32%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_amx_conv_kernel.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-1x2-scalar-int.c.o [ 33%] Building C object 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confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x2-scalar-int.c.o [ 33%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x4-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-2x4-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x1-scalar-float.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.hpp:33, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.cpp:23: In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_desc_wrapper.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_storage.hpp:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.cpp:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:25: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:32: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ~~^~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:70: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:83: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:92: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::RegExp::operator==(const Xbyak::RegExp&) const’, inlined from ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:41, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:943:106: warning: array subscript 0 is outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 943 | return base_ == rhs.base_ && index_ == rhs.index_ && disp_ == rhs.disp_ && scale_ == rhs.scale_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: at offset 8 into object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:68: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:82: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘val’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x1-scalar-int.c.o In member function ‘bool Xbyak::Address::operator==(const Xbyak::Address&) const’, inlined from ‘bool Xbyak::Operand::operator==(const Xbyak::Operand&) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1307:56, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:16, inlined from ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:182:33: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1288:111: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1288 | return getBit() == rhs.getBit() && e_ == rhs.e_ && label_ == rhs.label_ && mode_ == rhs.mode_ && broadcast_ == rhs.broadcast_; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp: In function ‘constexpr bool dnnl::impl::utils::one_of(T, P, Args ...) [with T = Xbyak::Reg64; P = Xbyak::Reg64; Args = {Xbyak::Reg64, Xbyak::Reg64, Xbyak::Reg64}]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/utils.hpp:181:16: note: object ‘item’ of size 8 181 | constexpr bool one_of(T val, P item, Args... item_others) { | ^~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x2-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x2-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-unpool/x32-unpool-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x2-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x3-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x4-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-xm-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-1x2-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-1x2-scalar-int.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::unordered_set > google::protobuf::compiler::objectivec::{anonymous}::MakeWordsMap(const char* const*, size_t)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:89:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 89 | for (int i = 0; i < num_words; i++) { | ~~^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::{anonymous}::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:114:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 114 | for (int i = 0; i < input.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:155:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | for (int j = 0; j < value.length(); j++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::UnCamelCaseEnumShortName(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:523:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 523 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::UnCamelCaseFieldName(const std::string&, const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:613:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 613 | for (int i = 0; i < worker.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘std::string google::protobuf::compiler::objectivec::BuildCommentsString(const google::protobuf::SourceLocation&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:970:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 970 | for (int i = 0; i < lines.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x1-scalar-float.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘void google::protobuf::compiler::objectivec::RemoveComment(google::protobuf::StringPiece*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1037:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1037 | if (offset != StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::{anonymous}::ExpectedPrefixesCollector::ConsumeLine(const google::protobuf::StringPiece&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1058:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1058 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In function ‘bool google::protobuf::compiler::objectivec::ValidateObjCClassPrefixes(const std::vector&, const Options&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1222:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1222 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In static member function ‘static std::string google::protobuf::compiler::objectivec::TextFormatDecodeData::DecodeDataForString(const std::string&, const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1428:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1428 | for (int y = 0; y < desired_output.size(); y++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1435:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1435 | if (x >= input_for_decode.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1447:9: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1447 | if (x != input_for_decode.size()) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::ImportWriter::ProtoFrameworkCollector::ConsumeLine(const google::protobuf::StringPiece&, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1726:14: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1726 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1739:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1739 | if (offset == StringPiece::npos) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_helpers.cc:1756:32: warning: comparison of integer expressions of different signedness: ‘google::protobuf::stringpiece_ssize_type’ {aka ‘long int’} and ‘const google::protobuf::StringPiece::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1756 | if (proto_file.find(' ') != StringPiece::npos) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x1-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-float.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x1-scalar-int.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_convolution.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-float.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc: In member function ‘virtual bool google::protobuf::compiler::objectivec::ObjectiveCGenerator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc:76:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 76 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_generator.cc:151:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 151 | for (int i = 0; i < files.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x2-scalar-int.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-copy/xx-copy-scalar-memcpy.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-fill/xx-fill-scalar-x16.c.o [ 33%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_dw_conv_kernel.cpp.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-pad/xx-pad-scalar.c.o [ 33%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-transpose/xx-transpose-1x1-scalar-memcpy.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9p8x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-sse-c4.c:24:44: warning: argument 11 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9p8x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:69:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 69 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-avgpool/f32-avgpool-9x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-sse-c4.c:23:44: warning: argument 10 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-avgpool/f32-avgpool-9x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:90:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 90 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:94:1: note: in expansion of macro ‘DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 94 | DECLARE_F32_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_avgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-1x1.c.o [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16_sum.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-1x1.c:27:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-1x1.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:78:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 78 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_1x1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_bf16cvt.cpp.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-2x2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-2x2.c:27:39: warning: argument 13 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-conv-hwc2chw/f32-conv-hwc2chw-3x3s2p1c3x4-sse-2x2.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:73:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 73 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/conv.h:79:1: note: in expansion of macro ‘DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION’ 79 | DECLARE_F32_CONV_HWC2CHW_UKERNEL_FUNCTION(xnn_f32_conv_hwc2chw_ukernel_3x3s2p1c3x4__sse_2x2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i64.o [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_map_field.cc.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1156:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1156 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc3.c.o [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_f32_wino_conv_2x3.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1157:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1157 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc4.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1158:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1158 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_f32_wino_conv_4x3.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1155:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1155 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1160:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1160 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4.c.o [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_fp16cvt.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1159:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1159 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1161:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1161 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1162:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1162 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-5x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1163:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1163 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_5x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-sse-6x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1164:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1164 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__sse_6x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1243:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1243 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1244:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1244 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1245:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1245 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1242:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1242 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1247:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1247 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1246:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1246 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_u8s8s32x_wino_convolution.cpp.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1248:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1248 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-4x4.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3s2p1-minmax-sse-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1249:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1249 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3s2p1__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1320:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1320 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_1x1_convolution.cpp.o [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_conv_kernel.cpp.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1321:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1321 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1322:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1322 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp:19: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2145:10, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2132:7, inlined from ‘void Xbyak::CodeGenerator::dec(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:213:39, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_cvt_bf16_to_ps_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp:135:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_cvt_bf16_to_ps_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.cpp:44:11: note: object ‘reg_nrows’ of size 8 44 | Reg64 reg_nrows = rax; // instead of abi_param4 (rcx) | ^~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc5.c.o [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc5.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4-acc5.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1323:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1323 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1319:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1319 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1325:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1325 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_message.cc.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1326:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1326 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_2x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1328:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1328 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_3x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1324:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1324 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f32.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1327:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1327 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp:21: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2145:10, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2132:7, inlined from ‘void Xbyak::CodeGenerator::dec(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:213:39, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_fp16_cvt_f16_to_ps_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp:214:8: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_fp16_cvt_f16_to_ps_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_fp16cvt.cpp:126:11: note: object ‘reg_nrows’ of size 8 126 | Reg64 reg_nrows = rax; // instead of abi_param4 (rcx) | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1330:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1330 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_4x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1329:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1329 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_message_field.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc: In member function ‘void google::protobuf::compiler::objectivec::MessageGenerator::GenerateSource(google::protobuf::io::Printer*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc:559:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 559 | for (int i = 0; i < text_format_data_str.size(); i += kBytesPerLine) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/objectivec/objectivec_message.cc:573:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 573 | for (int i = 0; i < sorted_extensions.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_oneof.cc.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5p2-minmax-sse-5x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1331:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1331 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5p2__sse_5x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1416:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1416 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/objectivec/objectivec_primitive_field.cc.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1417:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1417 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1418:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1418 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4-acc5.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1419:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1419 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1415:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1415 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/php/php_generator.cc.o [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/plugin.cc.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1421:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1421 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/plugin.pb.cc.o [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/python/python_generator.cc.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1422:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1422 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c.o [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_avx512_core_x8s8s32x_deconvolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1420:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1420 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::PhpName(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:288:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 288 | for (int i = 0; i < full_name.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::GeneratedMetadataFileName(const google::protobuf::FileDescriptor*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:365:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 365 | while (first_index != string::npos) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:376:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 376 | if (file_name_start == string::npos) { | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::GeneratedServiceFileName(const google::protobuf::ServiceDescriptor*, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:415:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 415 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::UnderscoresToCamelCase(const std::string&, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:558:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 558 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1424:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1424 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_3x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘std::string google::protobuf::compiler::php::FilenameToClassname(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1183:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1183 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateMetadataFile(const google::protobuf::FileDescriptor*, bool, bool, const std::set >&, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1206:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1206 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateEnumFile(const google::protobuf::FileDescriptor*, const google::protobuf::EnumDescriptor*, bool, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1280:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1280 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1292:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1292 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateMessageFile(const google::protobuf::FileDescriptor*, const google::protobuf::Descriptor*, bool, bool, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1392:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1392 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1401:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1401 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateServiceFile(const google::protobuf::FileDescriptor*, const google::protobuf::ServiceDescriptor*, bool, google::protobuf::compiler::GeneratorContext*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1500:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1500 | lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1508:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 1508 | if (lastindex != string::npos) { | ~~~~~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In function ‘void google::protobuf::compiler::php::GenerateDocCommentBodyForLocation(google::protobuf::io::Printer*, const google::protobuf::SourceLocation&, bool, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1617:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1617 | for (int i = 0; i < lines.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brdgmm_dw_conv.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In member function ‘virtual bool google::protobuf::compiler::php::Generator::GenerateAll(const std::vector&, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1852:25: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1852 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_1x1_conv.cpp.o [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::GeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1270:48: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:391:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 391 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::GeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1382:48: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:391:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::LegacyGeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::EnumDescriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1235:54: required from ‘void google::protobuf::compiler::php::LegacyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, bool, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::EnumDescriptor]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1368:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:404:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 404 | for (int i = 0; i < result.size(); i++) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc: In instantiation of ‘std::string google::protobuf::compiler::php::LegacyGeneratedClassFileName(const DescriptorType*, bool) [with DescriptorType = google::protobuf::Descriptor; std::string = std::__cxx11::basic_string]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1235:54: required from ‘void google::protobuf::compiler::php::LegacyGenerateClassFile(const google::protobuf::FileDescriptor*, const DescriptorType*, bool, google::protobuf::compiler::GeneratorContext*) [with DescriptorType = google::protobuf::Descriptor]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:1470:28: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/php/php_generator.cc:404:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In function ‘bool google::protobuf::compiler::python::{anonymous}::ContainsPythonKeyword(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:121:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 121 | for (int i = 0; i < tokens.size(); ++i) { | ~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘virtual bool google::protobuf::compiler::python::Generator::Generate(const google::protobuf::FileDescriptor*, const std::string&, google::protobuf::compiler::GeneratorContext*, std::string*) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:319:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::__cxx11::basic_string > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 319 | for (int i = 0; i < options.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘void google::protobuf::compiler::python::Generator::PrintImports() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:412:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 412 | if (last_dot_pos == std::string::npos) { | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘void google::protobuf::compiler::python::Generator::PrintTopLevelEnums() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:508:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, int> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 508 | for (int i = 0; i < top_level_enum_values.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc: In member function ‘void google::protobuf::compiler::python::Generator::PrintMessages() const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/python/python_generator.cc:839:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 839 | for (int j = 0; j < to_register.size(); ++j) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-5x5s2p2-minmax-sse-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1423:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1423 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_5x5s2p2__sse_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:162:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 162 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/ruby/ruby_generator.cc.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i32.o [ 34%] Linking CXX static library ../../../lib/libtensorpipe_cuda.a [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:161:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 161 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:172:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 172 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:171:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 171 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:191:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 191 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/subprocess.cc.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse.c.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse-acc2.c.o [ 34%] Built target tensorpipe_cuda [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:190:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 190 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:201:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 201 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:200:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 200 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotoc.dir/__/src/google/protobuf/compiler/zip_writer.cc.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:79:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 79 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_5f5m5l8c4s4r__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-5f5m5l8c4s4r-minmax-sse.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:78:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 78 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_5f5m5l8c4s4r__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:81:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 81 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_7f6m6l8c4s4r__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/zip_writer.cc: In function ‘google::protobuf::uint32 google::protobuf::compiler::ComputeCRC32(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/zip_writer.cc:94:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 94 | for (int i = 0; i < buf.size(); ++i) { | ~~^~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse.c.o [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_bwd.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-7f6m6l8c4s4r-minmax-sse.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:80:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 80 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_7f6m6l8c4s4r__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/subprocess.cc: In member function ‘bool google::protobuf::compiler::Subprocess::Communicate(const google::protobuf::Message&, google::protobuf::Message*, std::string*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/subprocess.cc:409:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 409 | if (input_pos == input_data.size()) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_bwd_w.cpp.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:222:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 222 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc: In function ‘std::string google::protobuf::compiler::ruby::DefaultValueForField(const google::protobuf::FieldDescriptor*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc:158:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 158 | for (int i = 0; i < default_str.length(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc: In function ‘std::string google::protobuf::compiler::ruby::PackageToModule(const std::string&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/protobuf/src/google/protobuf/compiler/ruby/ruby_generator.cc:325:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 325 | for (int i = 0; i < name.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:221:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 221 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_comp_pad_kernel.cpp.o [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:232:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 232 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:231:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_common_conv_kernel.cpp:19: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:251:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 251 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p4c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p4c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:250:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 250 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p4c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:261:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 261 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__sse_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:260:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 260 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 34%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool-cw/f32-gavgpool-cw-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-sse-x4.c:19:41: warning: argument 5 of type ‘const union xnn_f32_gavgpool_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 19 | const union xnn_f32_gavgpool_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool-cw/f32-gavgpool-cw-sse-x4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:314:44: note: previously declared as ‘const union xnn_f32_gavgpool_params *’ 314 | const union xnn_f32_gavgpool_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:318:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION’ 318 | DECLARE_F32_GAVGPOOL_CW_UKERNEL_FUNCTION(xnn_f32_gavgpool_cw_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f64.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-sse-c4.c:22:44: warning: argument 8 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7p7x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:31:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 31 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:35:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 35 | DECLARE_F32_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7p7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gavgpool/f32-gavgpool-7x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-sse-c4.c:20:44: warning: argument 7 of type ‘const union xnn_f32_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 20 | const union xnn_f32_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gavgpool/f32-gavgpool-7x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:49:47: note: previously declared as ‘const union xnn_f32_scaleminmax_params *’ 49 | const union xnn_f32_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:53:1: note: in expansion of macro ‘DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F32_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_gavgpool_minmax_ukernel_7x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:27: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 16 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: at offset 8 into object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2207:48, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2261:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_f32_wino_conv_4x3_bwd_weights_kernel::gemm_loop_generate(bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:65: note: object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_f32_wino_conv_4x3_kernel.cpp:2208:53: note: object ‘’ of size 8 2208 | zmm_srcA(), zmm_srcB(N_bcast)); | ~~~~~~~~^~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_bf16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_f32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_u8.o [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:234:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 234 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-load1.c.o [ 35%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_trans_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:229:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 229 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8s4-minmax-sse.c.o In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_desc_wrapper.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_storage.hpp:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_tracking.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_amx_conv_kernel.cpp:18: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:239:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 239 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:235:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 235 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:230:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 230 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 35%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_conv_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:240:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 240 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_inner_product.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_inner_product_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x2c4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:244:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 244 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:236:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 236 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:231:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 231 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_brgemm_transpose_utils.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:241:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 241 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_gemm_inner_product_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:237:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 237 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-load1.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:232:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 232 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8s4-minmax-sse.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:242:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 242 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-dup.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:542:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 542 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:537:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 537 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Linking CXX static library ../../../lib/libprotoc.a [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:552:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 552 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:543:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 543 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:29: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:607:21, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:664:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: object ‘vreg_wei’ of size 8 602 | void jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_u8s8s32x_wino_convolution.cpp:602:6: note: object ‘vreg_src’ of size 8 [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:538:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 538 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8s4-minmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:553:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 553 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:544:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 544 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_gemm_x8s8s32x_conv_zp_src_pad_comp.cpp.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_gemm_x8s8s32x_convolution_utils.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:539:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 539 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:554:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 554 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:545:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 545 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:28: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-load1.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:540:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 540 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8s4-minmax-sse.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8s4-minmax-sse.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:555:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 555 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-sse-p4.c.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_1x1_conv_kernel_f32.cpp.o In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 8 into object ‘vreg_src’ of size 8 In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::opVnni(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int, int, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2451:15, inlined from ‘void Xbyak::CodeGenerator::vpdpbusd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, Xbyak::PreferredEncoding)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1239:118, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:521:21, inlined from ‘dnnl::impl::cpu::x64::_jit_avx512_core_x8s8s32x_1x1_conv_kernel::reduce_loop(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:552:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_wei’ of size 8 529 | auto fma_block = [=](bool last_block) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_1x1_conv_kernel.cpp:529:22: note: at offset 16 into object ‘vreg_src’ of size 8 [ 36%] Built target libprotoc [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_1x1_convolution.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear-chw/gen/f32-ibilinear-chw-sse-p8.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-sse-c4.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_conv_kernel_f32.cpp.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_sse41_convolution.cpp.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_transpose_utils.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ibilinear/gen/f32-ibilinear-sse-c8.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-dup.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:148:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:143:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/protobuf/cmake/CMakeFiles/protoc.dir/__/src/google/protobuf/compiler/main.cc.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8s4-minmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:153:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:149:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-load1.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive.hpp:29, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:24: In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_1x1_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:116:65: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:124:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:144:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 144 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_1x1_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:116:65: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:124:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c.o In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_1x1_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:116:65: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ In static member function ‘static dnnl::impl::status_t dnnl::impl::primitive_desc_t::create(dnnl::impl::primitive_desc_t**, const dnnl::impl::op_desc_t*, const dnnl::impl::primitive_attr_t*, dnnl::impl::engine_t*, const dnnl::impl::primitive_desc_t*) [with pd_t = dnnl::impl::cpu::x64::brgemm_convolution_fwd_t::pd_t]’, inlined from ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:124:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/primitive_desc.hpp:325:20: warning: array subscript ‘const dnnl::impl::op_desc_t[0]’ is partly outside array bounds of ‘dnnl::impl::convolution_desc_t [1]’ {aka ‘dnnl_convolution_desc_t [1]’} [-Warray-bounds] 325 | if (adesc->kind != pd_t::base_pkind && !valid_logsoftmax | ~~~~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp: In member function ‘dnnl::impl::status_t dnnl::impl::cpu::x64::brgemm_convolution_bwd_t::pd_t::init(dnnl::impl::engine_t*) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16_amx_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_brgemm_conv_bwd.cpp:108:24: note: object ‘fwd_conv_d’ of size 5976 108 | convolution_desc_t fwd_conv_d = convolution_desc_t(); | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:154:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_batch_normalization.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x2c4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:158:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x2c4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:150:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:145:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 145 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_batch_normalization_s8.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:155:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 155 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Linking CXX executable ../../../bin/protoc [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:151:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 151 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__sse_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse-load1.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:146:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 146 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__sse_load1) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_binary.cpp.o In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16_conv_kernel.cpp:21: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8s4-minmax-sse.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_postops_injector.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.hpp:32, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:528:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_avx512_core_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_x8s8s32x_deconvolution.cpp:502:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 502 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8s4-minmax-sse.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8s4-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:156:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 156 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8s4__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-maxpool/f32-maxpool-9p8x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-sse-c4.c:22:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-maxpool/f32-maxpool-9p8x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:48:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 48 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:52:1: note: in expansion of macro ‘DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_F32_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f32_maxpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_binary_kernel.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-sse-c4.c:25:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:69:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 69 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:73:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 73 | DECLARE_F32_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9p8x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-pavgpool/f32-pavgpool-9x-minmax-sse-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-sse-c4.c:24:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-pavgpool/f32-pavgpool-9x-minmax-sse-c4.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:91:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 91 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:95:1: note: in expansion of macro ‘DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 95 | DECLARE_F32_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_pavgpool_minmax_ukernel_9x__sse_c4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-ppmm/gen/f32-ppmm-4x8-minmax-sse.c.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_deconv_zp_pad_str_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x8-minmax-sse.c:26:37: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-ppmm/gen/f32-ppmm-4x8-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:29:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/ppmm.h:37:1: note: in expansion of macro ‘DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION’ 37 | DECLARE_F32_PPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_ppmm_minmax_ukernel_4x8__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse-2x4.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse-2x8.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-4x1-minmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-4x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:43:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_4x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:338:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 338 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_dw_conv_kernel_f32.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-8x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:64:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 64 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_8x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_dw_conv_kernel_utils.cpp.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_dw_convolution.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-sse-x8.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x4.c.o [ 36%] Built target protoc /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:339:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 339 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:540:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 540 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Running C++/Python protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/caffe2/proto/torch.proto /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:541:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 541 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Running C++/Python protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/caffe2/proto/caffe2.proto [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_eltwise.cpp.o [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_eltwise_int.cpp.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-16x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:89:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_16x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c:26:39: warning: argument 9 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-spmm/gen/f32-spmm-32x1-minmax-sse.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:29:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 29 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/spmm.h:108:1: note: in expansion of macro ‘DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_F32_SPMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_spmm_minmax_ukernel_32x1__sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:361:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 361 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_i8i8_pooling.cpp.o [ 36%] Building CXX object caffe2/proto/CMakeFiles/Caffe2_PROTO.dir/torch.pb.cc.o [ 36%] Building CXX object caffe2/proto/CMakeFiles/Caffe2_PROTO.dir/caffe2.pb.cc.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:362:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 362 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x4.c.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:563:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 563 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:196:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 196 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-sse-x4.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:197:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 197 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:478:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 478 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o [ 36%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-sse-x8.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:479:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 479 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:219:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 219 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_layer_normalization.cpp.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:220:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 220 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:501:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 501 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:502:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 502 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-sse-x4.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:385:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 385 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:384:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 384 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:609:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 609 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:610:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:586:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 586 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:587:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:655:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 655 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:656:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 656 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:242:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 242 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x4.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:524:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 524 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:525:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 525 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:407:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 407 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:408:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 408 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x4.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:632:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 632 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x8.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-sse-x4.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:633:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 633 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x4.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:251:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 251 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-sse-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:252:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 252 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_premulsum_bf16.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x4.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:504:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 504 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-sse-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:505:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 505 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x4.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:554:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 554 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:555:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 555 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-sse-2x.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-sse-2x.c:26:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c4-minmax-sse-2x.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:36:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c4__sse_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vmulcaddc/gen/f32-vmulcaddc-c8-minmax-sse-2x.c.o [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_pool_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c8-minmax-sse-2x.c:26:39: warning: argument 8 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vmulcaddc/gen/f32-vmulcaddc-c8-minmax-sse-2x.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:28:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 28 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:37:1: note: in expansion of macro ‘DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 37 | DECLARE_F32_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulcaddc_minmax_ukernel_c8__sse_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x4.c:22:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:635:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 635 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-sse-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:636:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 636 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x4.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:761:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 761 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__sse_sqrt_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-sse-sqrt-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:762:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 762 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__sse_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:218:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 218 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:21: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 16 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 16 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 16 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 16 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 8 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 8 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vcvtne2ps2bf16(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1954:84, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1038:43: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1023:34: note: at offset 16 into object ‘zmm_src_0’ of size 8 1023 | auto zmm_src_0 = get_zmm_src_0(ic); | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1024:34: note: at offset 16 into object ‘zmm_src_1’ of size 8 1024 | auto zmm_src_1 = get_zmm_src_1(ic); | ^~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 16 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 16 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 16 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 16 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 8 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 8 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vpermw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:2178:76, inlined from ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1039:35: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_diff_wei_trans_to_vnni_t::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:1025:34: note: at offset 16 into object ‘zmm_bf16’ of size 8 1025 | auto zmm_bf16 = get_zmm_bf16(ic); | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_transpose_utils.cpp:965:46: note: at offset 16 into object ‘’ of size 8 965 | const Xbyak::Zmm &zmm_idx = Xbyak::Zmm(31); | ^ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:219:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 219 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:601:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 601 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-sse-x8.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-sse-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_pooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x4.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1107:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1107 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__sse_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-sse-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-sse-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1108:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1108 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__sse_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-sse-addsub.c.o [ 37%] Running gen_proto.py on onnx/onnx.in.proto [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-sse-addsub.c.o Processing /builddir/build/BUILD/pytorch-v2.0.1/third_party/onnx/onnx/onnx.in.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto3 Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-ml.pb.h generating /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_pb.py [ 37%] Running C++ protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-sse-addsub.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-sse-addsub.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-sse-hh1mac.c.o [ 37%] Built target gen_onnx_proto [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-sse-nr1mac.c.o [ 37%] Running gen_proto.py on onnx/onnx-data.in.proto [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-sse-nr2mac.c.o Processing /builddir/build/BUILD/pytorch-v2.0.1/third_party/onnx/onnx/onnx-data.in.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto3 Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data.pb.h generating /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_data_pb.py [ 37%] Running C++ protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-packx/x32-packx-x4-sse.c.o [ 37%] Built target gen_onnx_data_proto [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/x32-transposec-4x4-sse.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/x32-transposec-4x4-sse.c:21:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 21 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/x32-transposec-4x4-sse.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:128:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 128 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_sse) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:39:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 39 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x16.c.o [ 37%] Running gen_proto.py on onnx/onnx-operators.in.proto /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:40:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 40 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Processing /builddir/build/BUILD/pytorch-v2.0.1/third_party/onnx/onnx/onnx-operators.in.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto3 Writing /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators-ml.pb.h generating /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_operators_pb.py [ 37%] Running C++ protocol buffer compiler on /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:41:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 41 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Built target gen_onnx_operators_proto [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int16-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:42:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 42 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x8.c.o [ 37%] Building CXX object third_party/onnx/CMakeFiles/onnx_proto.dir/onnx/onnx_onnx_torch-ml.pb.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_at_kern_autogen.cpp: In member function ‘virtual void dnnl::impl::cpu::x64::jit_avx512_core_u8_copy_sum_at_kern::generate()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/gemm/s8x8s32/jit_avx512_core_u8_copy_sum_at_kern_autogen.cpp:29:6: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 29 | void jit_avx512_core_u8_copy_sum_at_kern::generate() { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:44:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 44 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/onnx/CMakeFiles/onnx_proto.dir/onnx/onnx-operators_onnx_torch-ml.pb.cc.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:45:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 45 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/onnx/CMakeFiles/onnx_proto.dir/onnx/onnx-data_onnx_torch.pb.cc.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:46:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 46 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse2-int32-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:47:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 47 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse2_int32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:24:39: note: previously declared as ‘const union xnn_f16_abs_params *’ 24 | const union xnn_f16_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:29:1: note: in expansion of macro ‘DECLARE_F16_VABS_UKERNEL_FUNCTION’ 29 | DECLARE_F16_VABS_UKERNEL_FUNCTION(xnn_f16_vabs_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vabs-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vabs-sse2-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:24:39: note: previously declared as ‘const union xnn_f16_abs_params *’ 24 | const union xnn_f16_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:30:1: note: in expansion of macro ‘DECLARE_F16_VABS_UKERNEL_FUNCTION’ 30 | DECLARE_F16_VABS_UKERNEL_FUNCTION(xnn_f16_vabs_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vneg-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:80:39: note: previously declared as ‘const union xnn_f16_neg_params *’ 80 | const union xnn_f16_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:86:1: note: in expansion of macro ‘DECLARE_F16_VNEG_UKERNEL_FUNCTION’ 86 | DECLARE_F16_VNEG_UKERNEL_FUNCTION(xnn_f16_vneg_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vneg-sse2-x16.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-4x-sse2-c4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vneg-sse2-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:80:39: note: previously declared as ‘const union xnn_f16_neg_params *’ 80 | const union xnn_f16_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:87:1: note: in expansion of macro ‘DECLARE_F16_VNEG_UKERNEL_FUNCTION’ 87 | DECLARE_F16_VNEG_UKERNEL_FUNCTION(xnn_f16_vneg_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reduction.cpp.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9p8x-sse2-c4.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-argmaxpool/f32-argmaxpool-9x-sse2-c4.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x8.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x16.c.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:116:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 116 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:117:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 117 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:118:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 118 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reduction_kernel.cpp.o [ 37%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reorder.cpp.o [ 37%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:119:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 119 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse2-dup.c.o [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_reorder_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:246:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 246 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:247:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 247 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:248:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 248 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse2-dup.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:249:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 249 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:547:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 547 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:548:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 548 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse2-dup.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:549:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 549 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse2-dup.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:550:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 550 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:160:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 160 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse2-dup.c.o [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_resampling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:161:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 161 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse2-dup.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:162:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 162 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse2-dup.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse2-dup.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-sse2-dup.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:163:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 163 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__sse2_dup) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse2-2x4.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse2-2x8.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_bf16.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:175:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 175 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:176:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 176 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:177:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 177 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:178:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 178 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x8.c.o [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_resampling_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:248:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 248 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x16.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:249:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 249 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:250:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 250 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:251:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 251 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x4.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:133:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 133 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:135:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 135 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x8_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:134:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 134 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:137:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 137 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x12_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:138:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 138 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x12_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:136:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 136 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:140:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 140 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x16_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:141:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 141 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x16_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:139:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 139 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:143:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 143 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/gemm/gemm.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.cpp:37: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_gru_cell_postgemm_1_bwd.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/postgemm_dispatcher.hpp:30, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.hpp:34, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/rnn/ref_rnn.cpp:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:144:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 144 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-sse2-rr2-p5-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:142:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 142 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__sse2_rr2_p5_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x4.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:297:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 297 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_softmax.cpp.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:298:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 298 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x12.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:299:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 299 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:300:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 300 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x20.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:301:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 301 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x24.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-lut16-p3-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:302:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 302 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_lut16_p3_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:304:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 304 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_tbb_batch_normalization.cpp.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:305:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 305 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x12.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:306:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 306 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:307:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 307 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x20.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:308:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 308 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse2-rr2-p6-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:309:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 309 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse2_rr2_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Built target Caffe2_PROTO [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse2-x4.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x4.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:557:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 557 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse2-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:558:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 558 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_1x1_conv_kernel.cpp.o [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_1x1_convolution.cpp.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse2-x4.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u8.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:721:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 721 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:722:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 722 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:667:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 667 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:668:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 668 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse2-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:703:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 703 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse2-x8.c.o [ 38%] Linking CXX static library ../lib/libcaffe2_protos.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:704:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 704 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse2-x4.c.o [ 38%] Built target caffe2_protos /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:685:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 685 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse2_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse2-x8.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_i64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:686:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 686 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x4.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f16.o [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_conv_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x4.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:919:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 919 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x8.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:920:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 920 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x12.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x12.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:921:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 921 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x16.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:922:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 922 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_f32.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x20.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:923:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 923 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_max_i8.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x24.c.o [ 38%] Linking CXX static library ../../lib/libonnx_proto.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x24.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-lut64-p2-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:924:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 924 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_lut64_p2_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Built target onnx_proto [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x4.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:905:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 905 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sum_bf16.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:906:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 906 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Built target fbgemm_generic [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x12.c.o [ 38%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x16.c.o [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x12.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:907:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 907 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:908:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 908 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 38%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/jit_uni_x8s8s32x_deconvolution.cpp.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x20.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x20.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:909:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 909 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse2-rr2-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:910:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 910 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse2_rr2_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtps2dq(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:196:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtps2dq(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1481:21, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::process_linear(const Vmm&, const Vmm&) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:272:18, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::compute_step(bool, size_t, size_t, dnnl::impl::alg_kind_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:243:35, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:115:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp: In member function ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:243:43: note: object ‘’ of size 8 243 | process_linear(vreg_to(i), vreg_from(i)); | ~~~~~~~^~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::blendvps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:76:57, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::process_relu(const Vmm&, const Vmm&) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:292:13, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::compute_step(bool, size_t, size_t, dnnl::impl::alg_kind_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:33, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:115:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp: In member function ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:55: note: object ‘’ of size 8 247 | process_relu(vreg_to(i), vreg_from(i)); | ~~~~~~~~~^~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtps2dq(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:196:57, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::process_relu(const Vmm&, const Vmm&) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:293:13, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::compute_step(bool, size_t, size_t, dnnl::impl::alg_kind_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:33, inlined from ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:115:25: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp: In member function ‘void dnnl::impl::cpu::x64::{anonymous}::jit_uni_subkernel_int_t::generate() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_eltwise_int.cpp:247:41: note: object ‘’ of size 8 247 | process_relu(vreg_to(i), vreg_from(i)); | ~~~~~~~^~~ [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn.cpp.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse2-int16.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse2-int32.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-sse2.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-sse2-rr2-lut64-p2.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-sse2-rr2-p5.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_binary_injector.hpp:33, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:23: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-sse2-rr2-lut16-p3.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-sse2-rr2-p6.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 8 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:778:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_bwd_data_kernel_f32::apply_filter(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:760:25: note: at offset 16 into object ‘vmm_ker’ of size 8 760 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expminus-f32-sse2-rr2-p5.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-sse2-cvt.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-sse2-cvt.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-sse2-cvt.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-sse2-cvt.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-lut64-p2-div.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-lut64-p2-nr1.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-lut64-p2-nr2.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-p5-div.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-p5-nr1.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-sse2-rr2-p5-nr2.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:945:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 945 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:963:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 963 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:959:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 959 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_postops_injector.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:19: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_barrier.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:30: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 8 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:792:36: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:787:31: note: at offset 16 into object ‘vsrc’ of size 8 787 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:964:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 964 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse2-mul16.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:960:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 960 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:961:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 961 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_bwd_base.cpp.o [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_bwd_blocked.cpp.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 16 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 8 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:777:31, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:825:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::mean_variance_nspc(int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:774:31: note: at offset 16 into object ‘vsrc’ of size 8 774 | const Vmm vsrc = vtmp; | ^~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1040:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1040 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_bf16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Ymm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::insertps(const Xbyak::Xmm&, const Xbyak::Operand&, uint8_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:381:70, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:204:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_reduction_kernel_t::reduce_xmm_to_scalar(const Xbyak::Xmm&, const Xbyak::Xmm&, std::size_t) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core_fp16; Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reduction_kernel.cpp:196:15: note: object ‘xmm_acc’ of size 8 196 | const Xmm xmm_acc(acc.getIdx()); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:992:40, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:727:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:982:29: note: object ‘vtmp1’ of size 8 982 | Vmm vtmp1 = Vmm(3 * base_reg + 2); | ^~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:992:40, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:727:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::spat_loop(size_t, size_t, size_t, init_t, body_t, fini_t) [with init_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; body_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; fini_t = dnnl::impl::cpu::x64::jit_bnorm_t::var_channels()::; dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:982:29: note: object ‘vtmp1’ of size 8 982 | Vmm vtmp1 = Vmm(3 * base_reg + 2); | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1036:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1036 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 16 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 8 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:210:25: note: at offset 16 into object ‘vmm_ker’ of size 8 210 | Vmm vmm_ker = get_ker_reg(0); | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 16 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 8 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:233:40: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::Vmm [1]’ {aka ‘Xbyak::Xmm [1]’} [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_dw_conv_fwd_kernel_f32::apply_filter_unrolled(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_dw_conv_kernel_f32.cpp:219:29: note: at offset 16 into object ‘vmm_src’ of size 8 219 | Vmm vmm_src = jcp.is_resrc_depthwise ? get_src_reg(ii) | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1001:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1469:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1453:27: note: object ‘vdiff_dst’ of size 8 1453 | const Vmm vdiff_dst = vdiff_beta; | ^~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1002:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1009:24, inlined from ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1469:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_bnorm_t::backward_sh_channels_nspc_compute(int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1452:27: note: object ‘vsrc’ of size 8 1452 | const Vmm vsrc = vdiff_gamma; | ^~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1041:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1041 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::sqrtps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:846:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vsqrtps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1190:19, inlined from ‘dnnl::impl::cpu::x64::jit_bnorm_t::backward_diff_channels_nspc_compute(int)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1639:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_bnorm_t::Vmm [1]’ {aka ‘const Xbyak::Xmm [1]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp: In lambda function: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_batch_normalization.cpp:1636:27: note: object ‘vsqrtvar_ch’ of size 8 1636 | const Vmm vsqrtvar_ch = Vmm(idx); | ^~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1037:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1037 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp:34: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2145:10, inlined from ‘void Xbyak::CodeGenerator::opIncDec(const Xbyak::Operand&, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2132:7, inlined from ‘void Xbyak::CodeGenerator::dec(const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:213:39, inlined from ‘void dnnl::impl::cpu::x64::tr::jit_uni_reorder_kernel_f32_t::loop_end(Xbyak::Label&, Xbyak::Reg64, int, int, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp:1232:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp: In member function ‘void dnnl::impl::cpu::x64::tr::jit_uni_reorder_kernel_f32_t::loop_end(Xbyak::Label&, Xbyak::Reg64, int, int, int, int, int, int)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_reorder.cpp:1224:41: note: object ‘reg_cnt’ of size 8 1224 | void loop_end(Label &l, const Reg64 reg_cnt, int len, int i_step, | ~~~~~~~~~~~~^~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse2-mul16.c.o [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_bwd_nhwc.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1038:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1038 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_fwd_base.cpp.o [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_fwd_blocked.cpp.o [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_avx512_common_lrn_fwd_nhwc.cpp.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i32.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:21: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:315:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:312:19: note: object ‘vmm_zeros’ of size 8 312 | const Vmm vmm_zeros(vmm_tmp_.getIdx()); | ^~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::xorps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1402:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vxorps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1292:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:315:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_resampling_kernel_t::preserve_zero_padding(int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_resampling_kernel.cpp:312:19: note: object ‘vmm_zeros’ of size 8 312 | const Vmm vmm_zeros(vmm_tmp_.getIdx()); | ^~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1783:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1783 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1803:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1803 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1823:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1823 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1843:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1843 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld64.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:600:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:44: note: object ‘s’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::divps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:216:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vdivps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:614:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:613:23: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_w(dnnl::impl::data_type_t, Vmm, Vmm, Vmm, dnnl::impl::dim_t, int, int, Xbyak::Reg64*) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:584:51: note: object ‘tmp1’ of size 8 584 | void deq_w(data_type_t src_data_t, Vmm s, Vmm tmp1, Vmm tmp2, | ~~~~^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1863:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1863 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1879:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1879 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1784:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1784 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1804:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1804 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1824:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1824 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o [ 39%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/__/__/caffe2/onnx/torch_ops/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1844:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1844 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1864:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1864 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1880:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1880 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld64.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:709:38: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::to_float(const Vmm&, const Xbyak::Address&, dnnl::impl::data_type_t, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:703:10: note: object ‘dst’ of size 8 703 | void to_float(const Vmm &dst, const Xbyak::Address &src, data_type_t src_dt, | ^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1785:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1785 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld128.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1805:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1805 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1825:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1825 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_uni_lrn.cpp.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1845:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1845 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1865:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1865 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1881:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1881 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1786:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1786 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld128.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1806:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1806 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1826:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1826 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1846:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1846 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/lrn/jit_uni_lrn_kernel.cpp.o [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/matmul/brgemm_matmul.cpp.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1452:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1452 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1472:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1472 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1492:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1492 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1512:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1512 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1532:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1532 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1548:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1548 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld64.c.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1453:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1453 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1473:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1473 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/matmul/brgemm_matmul_copy_utils.cpp.o [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1493:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1493 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 39%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o [ 39%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/__/__/caffe2/onnx/torch_ops/schema.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1513:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1513 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/checker.cc.o [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1533:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1533 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp:21: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::addps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:53:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:654:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_pool_kernel::avg_step(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp:696:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_pool_kernel::avg_step(int, int, int, int, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_pool_kernel.cpp:685:28: note: object ‘accvr’ of size 8 685 | const auto accvr = vreg(reg_ind(0, bci, jj, ur_bc, ur_w)); | ^~~~~ [ 40%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/matmul/brgemm_matmul_utils.cpp.o [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1549:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1549 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1454:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1454 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 40%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1474:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1474 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1494:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1494 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1514:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1514 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1534:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1534 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1550:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1550 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1455:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1455 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_backward.cpp.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1475:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1475 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_base_kernel.cpp.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1495:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1495 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/c++/12/algorithm:61, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory_desc_wrapper.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/memory.hpp:26, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:18: In function ‘void std::__final_insertion_sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’, inlined from ‘void std::__sort(_RandomAccessIterator, _RandomAccessIterator, _Compare) [with _RandomAccessIterator = int*; _Compare = __gnu_cxx::__ops::_Iter_comp_iter >]’ at /usr/include/c++/12/bits/stl_algo.h:1940:31, inlined from ‘void std::sort(_RAIter, _RAIter, _Compare) [with _RAIter = int*; _Compare = dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)::]’ at /usr/include/c++/12/bits/stl_algo.h:4853:18, inlined from ‘bool dnnl::impl::memory_desc_strides_check(const memory_desc_t&, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:715:14, inlined from ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:752:35: /usr/include/c++/12/bits/stl_algo.h:1849:32: warning: array subscript 16 is outside array bounds of ‘int [12]’ [-Warray-bounds] 1849 | std::__insertion_sort(__first, __first + int(_S_threshold), __comp); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp: In function ‘dnnl::impl::status_t dnnl::impl::memory_desc_init_by_tag(memory_desc_t&, format_tag_t, const dnnl_dim_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/common/type_helpers.hpp:685:9: note: at offset 64 into object ‘perm’ of size 48 685 | int perm[DNNL_MAX_NDIMS] = {0}; | ^~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1515:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1515 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:699:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 699 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:695:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 695 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:700:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 700 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16.c.o [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_forward.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:696:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 696 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::cvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:190:57, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcvtdq2ps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1491:21, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:635:22: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_rnn_postgemm::deq_h(Vmm, Xbyak::Address, int) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_uni_rnn_common_postgemm.hpp:619:20: note: object ‘dst’ of size 8 619 | void deq_h(Vmm dst, Xbyak::Address src, int in_len) { | ~~~~^~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_reduction_kernel.cpp.o [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_prelu_utils.cpp.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:697:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 697 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:795:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 795 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:791:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 791 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_uni_prelu_backward_kernel.cpp.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:796:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 796 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:792:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 792 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse2-mul16.c.o [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/prelu/jit_uni_prelu_forward_kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:793:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 793 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_bwd.cpp.o [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/assertions.cc.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:356:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 356 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_fwd.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/jit_uni_postops_injector.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:24: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:357:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 357 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:358:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 358 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:359:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 359 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 8 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::paddd(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:618:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpaddd(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1202:18, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:630:31: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::append_zp_src_pad_str_comp(int, int, int, bool, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:604:17: note: at offset 16 into object ‘zp_src_comp_pad_vmm’ of size 8 604 | Vmm zp_src_comp_pad_vmm; // will be assigned later | ^~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_reorders.cpp.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:128:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:129:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 129 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/brgemm_cell_common_utils.cpp.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:130:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 130 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:179:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 179 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/jit_brgemm_transpose_single_row.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.hpp:22, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2110:10, inlined from ‘void Xbyak::CodeGenerator::opRM_RM(const Xbyak::Operand&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2107:7, inlined from ‘void Xbyak::CodeGenerator::xor_(const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1400:60, inlined from ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.cpp:210:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg32 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h: In function ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2919:36: note: object ‘Xbyak::util::eax’ of size 8 2919 | static const XBYAK_CONSTEXPR Reg32 eax(Operand::EAX), ecx(Operand::ECX), edx(Operand::EDX), ebx(Operand::EBX), esp(Operand::ESP), ebp(Operand::EBP), esi(Operand::ESI), edi(Operand::EDI); | ^~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::mov(const Xbyak::Operand&, uint64_t)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2675:10, inlined from ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_prelu_utils.cpp:215:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Reg64 [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h: In function ‘void dnnl::impl::cpu::x64::prelu::apply_zero_padding(dnnl::impl::cpu::x64::jit_generator*, size_t, dnnl::impl::data_type_t, size_t, const Xbyak::Reg64&, const Xbyak::Reg64*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2930:55: note: object ‘Xbyak::util::rcx’ of size 8 2930 | static const XBYAK_CONSTEXPR Reg64 rax(Operand::RAX), rcx(Operand::RCX), rdx(Operand::RDX), rbx(Operand::RBX), rsp(Operand::RSP), rbp(Operand::RBP), rsi(Operand::RSI), rdi(Operand::RDI), r8(Operand::R8), r9(Operand::R9), r10(Operand::R10), r11(Operand::R11), r12(Operand::R12), r13(Operand::R13), r14(Operand::R14), r15(Operand::R15); | ^~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:180:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 180 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:181:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 181 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/jit_diff_weights_peephole.cpp.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1329:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1329 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1349:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1349 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1449:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1449 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/interned_strings.cc.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/injectors/injector_utils.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:25: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1369:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1369 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1389:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1389 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse2.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1454:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1454 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1409:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1409 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld128.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1429:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1429 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse2.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1459:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1459 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1330:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1330 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1350:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1350 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse2.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1450:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1450 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1370:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1370 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u64.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1390:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1390 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1455:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1455 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld64.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_avx512_core_bf16cvt.hpp:25, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movaps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:543:55, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::nchw_tail_sse41(int, Xbyak::Reg64, Xbyak::Xmm, Xbyak::Xmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:1089:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::nchw_tail_sse41(int, Xbyak::Reg64, Xbyak::Xmm, Xbyak::Xmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:1087:63: note: object ‘xtail_hi’ of size 8 1087 | Xbyak::Reg64 reg_dst, Xbyak::Xmm xtail_lo, Xbyak::Xmm xtail_hi) { | ~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/jit_gates_reduction.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1410:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1410 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1430:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1430 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse2.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1460:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1460 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/ir_pb_converter.cc.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld64.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1331:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1331 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/rnn/rnn_brgemm_utils.cpp.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1351:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1351 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1451:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1451 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/model_helpers.cc.o [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/path.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1371:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1371 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.hpp:24, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:18: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmovups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:477:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcmpps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1406:56, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:179:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:165:19: note: object ‘src_vmm’ of size 8 165 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmovups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:477:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vcmpps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1406:56, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:182:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:165:19: note: object ‘src_vmm’ of size 8 165 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:816:23, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:186:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:164:19: note: object ‘dst_diff_vmm’ of size 8 164 | const Vmm dst_diff_vmm {get_compute_vmm(dst_diff_idx, unroll_group)}; | ^~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:816:23, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:187:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:170:19: note: object ‘weights_diff_vmm’ of size 8 170 | const Vmm weights_diff_vmm { | ^~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:816:23, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:194:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_backward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_backward_kernel.cpp:168:19: note: object ‘src_gt_zero_vmm’ of size 8 168 | const Vmm src_gt_zero_vmm { | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1391:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1391 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse2.c.o In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1456:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1456 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/common/status.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1411:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1411 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_i64.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1431:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1431 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::uni_vfmadd132ps(const Vmm&, const Vmm&, const Xbyak::Operand&, bool) [with Vmm = Xbyak::Zmm]’, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::uni_vfmadd132ps(const Vmm&, const Vmm&, const Xbyak::Operand&, bool) [with Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:194:6, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Zmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:236:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:201:30: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Zmm [1]’ [-Warray-bounds] 201 | const Xbyak::Address addr | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Zmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:234:23: note: object ‘weights_operand’ of size 8 234 | const Vmm weights_operand | ^~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse2.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1461:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1461 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 8 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool)::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:547:27, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:614:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_fwd_kernel::compute_ker(int, int, int, ic_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_conv_kernel.cpp:509:6: note: at offset 16 into object ‘vreg_wei’ of size 8 509 | void _jit_uni_x8s8s32x_fwd_kernel::compute_ker(int ur_w, int pad_l, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld64.c.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1332:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1332 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1352:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1352 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.hpp:23, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:18: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::maxps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:530:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmaxps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1337:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:226:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:221:19: note: object ‘src_vmm’ of size 8 221 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::minps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:535:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vminps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1361:18, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:227:19: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:221:19: note: object ‘src_vmm’ of size 8 221 | const Vmm src_vmm {get_compute_vmm(src_idx, unroll_group)}; | ^~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::mulps(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:593:54, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd132ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Xmm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:881:18, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd132ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:890:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::uni_vfmadd132ps(const Vmm&, const Vmm&, const Xbyak::Operand&, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:190:20, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:236:28: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_prelu_forward_kernel_t::compute_dst(size_t, bool) [with Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/prelu/jit_uni_prelu_forward_kernel.cpp:234:23: note: object ‘weights_operand’ of size 8 234 | const Vmm weights_operand | ^~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 41%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/shuffle/jit_uni_shuffle.cpp.o [ 41%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse2.c.o [ 42%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/shuffle/jit_uni_shuffle_kernel.cpp.o [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/attr_proto_util.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1452:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1452 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1372:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1372 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse2.c.o [ 42%] Building CXX object third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/CMakeFiles/dnnl_cpu_x64.dir/utils/jit_io_helper.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1392:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1392 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1457:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1457 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/controlflow/defs.cc.o [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1075:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1075 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::pmaddubsw(const Xbyak::Mmx&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:665:58, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmaddubsw(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1244:22, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:504:23, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘bool Xbyak::RegExp::isVsib(int) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:930:68, inlined from ‘bool Xbyak::Address::isVsib() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1291:40, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2004:33, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 8 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1917:9, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1912:7, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::pmulld(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:696:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vpmulld(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:801:19, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute(Vmm, Vmm, Vmm) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:501:20, inlined from ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:762:32: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Xmm [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp: In member function ‘void dnnl::impl::cpu::x64::_jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int, int, int, ker_block_t, bool) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41; Vmm = Xbyak::Xmm]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_uni_x8s8s32x_deconvolution.cpp:651:6: note: at offset 16 into object ‘vreg_wei’ of size 8 651 | void _jit_uni_x8s8s32x_deconv_fwd_kernel::compute_ker(int ur_w, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1095:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1095 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1115:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1115 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1135:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1135 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2013:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx2; dnnl_data_type_t d_type = dnnl_f32]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ [ 42%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1155:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1155 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld128.c.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/controlflow/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1175:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1175 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1076:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1076 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1096:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1096 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.hpp:20, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:17: In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 16 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 16 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: at offset 8 into object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vmulps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1194:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1018:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:130:20: note: object ‘c_states_zmm’ of size 8 130 | const auto c_states_zmm = get_compute_zmm(c_states_idx, unroll_group); | ^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘bool Xbyak::Operand::isBit(uint32_t) const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:19, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:620:66: warning: array subscript 2 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 620 | XBYAK_CONSTEXPR bool isBit(uint32_t bit) const { return (bit_ & bit) != 0; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 16 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:42, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript 0 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:936:35: warning: array subscript 16 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 936 | exp.base_ = index_; | ~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 16 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 16 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘uint32_t Xbyak::Operand::getBit() const’, inlined from ‘bool Xbyak::Address::is32bit() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1275:51, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2253:33, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:621:58: warning: array subscript 1 is outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 621 | XBYAK_CONSTEXPR uint32_t getBit() const { return bit_; } | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: at offset 8 into object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: at offset 8 into object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vaddps(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:877:95, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&, const Xbyak::Ymm&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1019:19, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vfmadd231ps(const Xbyak::Ymm&, const Xbyak::Ymm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:1026:24, inlined from ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:141:24: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const Xbyak::Operand [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_diff_weights_peephole_t::compute_dst(size_t, bool)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:129:20: note: object ‘scratch_zmm’ of size 8 129 | const auto scratch_zmm = get_compute_zmm(scratch_idx, unroll_group); | ^~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/rnn/jit_diff_weights_peephole.cpp:140:20: note: object ‘dst_zmm_masked’ of size 8 140 | const auto dst_zmm_masked = tail ? dst_zmm | tail_opmask_ : dst_zmm; | ^~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1116:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1116 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1156:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1156 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1136:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1136 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_bf16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f64.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/data_type_utils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1176:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1176 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1077:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1077 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1097:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1097 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/function.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1117:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1117 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1137:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1137 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1157:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1157 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1177:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1177 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_prod_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1078:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1078 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1098:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1098 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1118:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1118 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1138:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1138 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-sse2.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-sse2.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-sse2.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:123:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 123 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:124:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 124 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x24.c.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/generator/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:125:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 125 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse2-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:126:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 126 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse2_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/generator/old.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:178:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 178 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:179:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 179 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:180:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 180 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x32.c.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/logical/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse2-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:181:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 181 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse2_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:310:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 310 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:311:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 311 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:30:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 30 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:31:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 31 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:105:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 105 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/logical/old.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:106:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 106 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:134:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:135:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 135 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-sse2-c8.c:28:47: warning: argument 11 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9p8x-minmax-fp32-sse2-c8.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:112:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 112 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:116:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 116 | DECLARE_QU8_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9p8x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-sse2-c8.c:27:47: warning: argument 10 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-avgpool/qu8-avgpool-9x-minmax-fp32-sse2-c8.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:130:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 130 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:134:1: note: in expansion of macro ‘DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 134 | DECLARE_QU8_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_avgpool_minmax_fp32_ukernel_9x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse2-mul16.c.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/math/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:536:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 536 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:537:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 537 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse2-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:545:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 545 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse2-mul16.c.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/math/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse2-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:546:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 546 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__sse2_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:449:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 449 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/math/utils.cc.o [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/nn/defs.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:450:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 450 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:451:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 451 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:452:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 452 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:231:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 231 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/cpu_isa_traits.hpp:45, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:27, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:22: In member function ‘bool Xbyak::Address::is64bitDisp() const’, inlined from ‘void Xbyak::CodeGenerator::opModM(const Xbyak::Address&, const Xbyak::Reg&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1914:23, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2028:10, inlined from ‘void Xbyak::CodeGenerator::opGen(const Xbyak::Operand&, const Xbyak::Operand&, int, int, bool (*)(const Xbyak::Operand&, const Xbyak::Operand&), int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2022:7, inlined from ‘void Xbyak::CodeGenerator::opMMX(const Xbyak::Mmx&, const Xbyak::Operand&, int, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2043:8, inlined from ‘void Xbyak::CodeGenerator::movups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:588:55, inlined from ‘void dnnl::impl::cpu::x64::jit_generator::uni_vmovups(const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/jit_generator.hpp:477:19, inlined from ‘dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::shuffle_blocked_format()::’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:314:24, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::shuffle_blocked_format() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:392:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1283:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::Vmm [4]’ {aka ‘const Xbyak::Xmm [4]’} [-Warray-bounds] 1283 | bool is64bitDisp() const { return mode_ == M_64bitDisp; } // for moffset | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_shuffle_kernel_t::shuffle_blocked_format() [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::sse41]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/shuffle/jit_uni_shuffle_kernel.cpp:297:15: note: object ‘vmm_tmp’ of size 32 297 | const Vmm vmm_tmp[4] = {Vmm(5), Vmm(6), Vmm(7), Vmm(8)}; | ^~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:232:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 232 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:233:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 233 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2250:41, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2256:101, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘bool Xbyak::Address::isBroadcast() const’, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2260:25, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1284:43: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1284 | bool isBroadcast() const { return broadcast_; } | ^~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2005:19, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘const Xbyak::Label* Xbyak::Address::getLabel() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2009:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1285:48: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1285 | const Label* getLabel() const { return label_; } | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2012:31, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::Address::Mode Xbyak::Address::getMode() const’, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2013:21, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1274:39: warning: array subscript ‘const Xbyak::Address[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 1274 | Mode getMode() const { return mode_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘size_t Xbyak::RegExp::getDisp() const’, inlined from ‘size_t Xbyak::Address::getDisp() const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1277:44, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2010:52, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:948:41: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 948 | size_t getDisp() const { return disp_; } | ^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:933:24: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 933 | RegExp exp = *this; | ^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ In member function ‘Xbyak::RegExp Xbyak::RegExp::optimize() const’, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1272:32, inlined from ‘Xbyak::RegExp Xbyak::Address::getRegExp(bool) const’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:1270:9, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2006:25, inlined from ‘void Xbyak::CodeGenerator::opAddr(const Xbyak::Address&, int, int, int, bool)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2002:7, inlined from ‘void Xbyak::CodeGenerator::opVex(const Xbyak::Reg&, const Xbyak::Operand*, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2269:10, inlined from ‘void Xbyak::CodeGenerator::opAVX_X_X_XM(const Xbyak::Xmm&, const Xbyak::Operand&, const Xbyak::Operand&, int, int, int)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:2303:8, inlined from ‘void Xbyak::CodeGenerator::vfmadd231ps(const Xbyak::Xmm&, const Xbyak::Xmm&, const Xbyak::Operand&)’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak_mnemonic.h:1070:81, inlined from ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’ at /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:278:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/xbyak/xbyak.h:935:62: warning: array subscript ‘const Xbyak::RegExp[0]’ is partly outside array bounds of ‘const std::array [1]’ [-Warray-bounds] 935 | if (index_.isBit(i32e) && !base_.getBit() && scale_ == 2) { | ^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp: In member function ‘void dnnl::impl::cpu::x64::jit_uni_lrn_fwd_kernel_t::within_body(int, int, int, int, int, dnnl::impl::prop_kind_t, int, int) [with dnnl::impl::cpu::x64::cpu_isa_t isa = dnnl::impl::cpu::x64::avx512_core; dnnl_data_type_t d_type = dnnl_bf16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/third_party/oneDNN/src/cpu/x64/lrn/jit_uni_lrn_kernel.cpp:263:37: note: at offset [8, 24] into object ‘vdst’ of size 24 263 | static const std::array vdst {{Vmm(4), Vmm(13), Vmm(22)}}; | ^~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:282:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 282 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:283:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 283 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse2-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:284:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 284 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse2_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i64.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld64.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:752:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 752 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:772:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 772 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/nn/old.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:792:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 792 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:812:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 812 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/object_detection/defs.cc.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:832:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 832 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:848:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 848 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:753:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 753 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:773:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 773 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:793:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 793 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:813:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 813 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld64.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:833:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 833 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:849:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 849 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld64.c.o [ 43%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:754:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 754 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:774:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 774 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 43%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/object_detection/old.cc.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:794:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 794 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/optional/defs.cc.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:814:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 814 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:834:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 834 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Built target dnnl_cpu_x64 [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/optional/old.cc.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:850:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 850 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:755:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 755 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:775:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 775 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:795:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 795 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:815:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 815 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:505:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 505 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:525:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 525 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:545:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 545 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_i32.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:565:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 565 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:585:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:601:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 601 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:506:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 506 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:526:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 526 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:546:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 546 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:566:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 566 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld64.c.o [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/parser.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:586:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 586 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:602:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 602 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:507:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 507 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:527:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 527 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:547:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 547 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:567:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 567 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:587:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:603:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 603 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:508:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 508 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_f64.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:528:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 528 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:548:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 548 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse2-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:568:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 568 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse2_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-fp32-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:36:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 36 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:37:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 37 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:74:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:75:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 75 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:403:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 403 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse2-x32.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:85:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 85 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:404:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 404 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/printer.cc.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:40:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 40 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/quantization/defs.cc.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:68:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 68 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse2-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:69:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 69 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse2_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse2-c8.c.o [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/quantization/old.cc.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse2-c16.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse2-c16.c:23:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse2-c16.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:92:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-sse2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse2-x64.c:18:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 18 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse2-x64.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1133:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1133 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse2-c8.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse2-c16.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c:26:38: warning: argument 9 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-sse2-c16.c:13: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:68:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 68 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:72:1: note: in expansion of macro ‘DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_U8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_u8_maxpool_minmax_ukernel_9p8x__sse2_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-rmax/u8-rmax-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-vclamp/u8-vclamp-sse2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-sse2-x64.c:18:38: warning: argument 4 of type ‘const union xnn_u8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 18 | const union xnn_u8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/u8-vclamp/u8-vclamp-sse2-x64.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1143:41: note: previously declared as ‘const union xnn_u8_minmax_params *’ 1143 | const union xnn_u8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1147:1: note: in expansion of macro ‘DECLARE_U8_VCLAMP_UKERNEL_FUNCTION’ 1147 | DECLARE_U8_VCLAMP_UKERNEL_FUNCTION(xnn_u8_vclamp_ukernel__sse2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c:27:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:230:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 230 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__16x16_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c:27:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-16x16-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:233:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 233 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__16x16_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x2-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x3-sse2.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_bf16.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-x4-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-zip/x8-zip-xm-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-multi-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:185:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 185 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_multi_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-multi-switch-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-reuse-mov-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-reuse-multi-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-multi-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:188:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 188 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_multi_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:192:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 192 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/reduction/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:195:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 195 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/reduction/old.cc.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-8x8-reuse-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-8x8-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:198:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 198 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__8x8_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/x16-transposec-4x8-sse2.c.o [ 44%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-multi-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:106:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 106 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_multi_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-multi-multi-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-multi-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:109:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 109 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_multi_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/reduction/utils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-multi-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:112:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 112 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_multi_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-reuse-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:117:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 117 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-reuse-multi-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:120:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 120 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-4x4-reuse-switch-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-unpool/x32-unpool-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-4x4-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:123:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 123 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__4x4_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u32.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x2-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x3-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-x4-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-zip/x32-zip-xm-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:47:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 47 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_multi_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-multi-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:49:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 49 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_multi_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-multi-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:51:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 51 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_multi_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-reuse-mov-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-mov-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-mov-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:54:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 54 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_reuse_mov_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-reuse-multi-sse2.c.o [ 45%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/rnn/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-multi-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-multi-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:56:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 56 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_reuse_multi_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-2x2-reuse-switch-sse2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-switch-sse2.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-2x2-reuse-switch-sse2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:58:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 58 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__2x2_reuse_switch_sse2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-fill/xx-fill-sse2-x64.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/xx-pad/xx-pad-sse2.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1166:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1166 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc3.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1167:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1167 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1168:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1168 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-1x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1165:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1165 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_1x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4-acc2.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1170:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1170 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_2x4_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-2x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1169:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1169 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_2x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-3x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-3x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-3x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1171:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1171 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_3x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-4x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-4x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-4x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1172:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1172 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_4x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-5x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-5x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-5x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1173:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1173 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_5x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c:26:36: warning: argument 8 of type ‘const union xnn_f32_chw_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f32_chw_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv2d-chw/gen/f32-dwconv2d-chw-3x3p1-minmax-ssse3-6x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1123:37: note: previously declared as ‘const union xnn_f32_chw_params *’ 1123 | const union xnn_f32_chw_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1174:1: note: in expansion of macro ‘DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION’ 1174 | DECLARE_F32_DWCONV2D_CHW_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv2d_chw_ukernel_3x3p1__ssse3_6x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1413:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1413 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1433:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1433 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-ssse3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-ssse3.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-ssse3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1463:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1463 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1414:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1414 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1434:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1434 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-ssse3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-ssse3.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-ssse3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1464:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1464 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1415:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1415 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1435:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1435 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/rnn/old.cc.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-ssse3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-ssse3.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-ssse3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1465:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1465 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1159:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1159 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1179:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1179 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1160:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1160 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1180:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1180 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1161:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1161 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__ssse3_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-ssse3-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1181:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1181 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__ssse3_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:313:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 313 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:314:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 314 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:33:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 33 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:34:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 34 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-ssse3.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:406:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 406 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:407:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 407 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:88:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 88 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-ssse3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x16.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:39:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 39 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__ssse3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-ssse3-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x32.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-ssse3-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:40:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 40 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__ssse3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x24-transposec/x24-transposec-4x4-ssse3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x24-transposec/x24-transposec-4x4-ssse3.c:22:42: warning: argument 7 of type ‘const union xnn_x24_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_x24_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x24-transposec/x24-transposec-4x4-ssse3.c:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:143:45: note: previously declared as ‘const union xnn_x24_transpose_params *’ 143 | const union xnn_x24_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:155:1: note: in expansion of macro ‘DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION’ 155 | DECLARE_X24_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x24_transposec_ukernel__4x4_ssse3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:49:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 49 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:50:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 50 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:51:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 51 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int16-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:52:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 52 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Built target dnnl_cpu [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x8.c.o [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:54:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 54 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:55:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 55 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Linking CXX static library ../../../../../../lib/libdnnl.a [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:56:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 56 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-sse41-int32-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:57:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 57 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__sse41_int32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:121:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 121 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:122:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 122 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:123:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 123 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:124:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 124 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse41-2x4.c.o [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/schema.cc.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-sse41-2x8.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:180:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 180 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:181:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 181 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:182:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 182 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:183:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 183 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x4.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:311:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 311 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:312:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 312 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x12.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:313:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 313 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:314:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 314 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x20.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:315:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 315 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x24.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-lut16-p3-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:316:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 316 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_lut16_p3_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x4.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:318:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 318 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:319:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 319 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x12.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x12.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:320:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 320 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:321:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 321 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x20.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x20.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:322:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 322 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-sse41-rr2-p6-x24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:323:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 323 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__sse41_rr2_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x4.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:560:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 560 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-sse41-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:561:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 561 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:723:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 723 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:724:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 724 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:669:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 669 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:670:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 670 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:705:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 705 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:706:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 706 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse41-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x4.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x4.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:687:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 687 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse41_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:688:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 688 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x4.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:926:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 926 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x8.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:927:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 927 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x12.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:928:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 928 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x16.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:929:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 929 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x20.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:930:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 930 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x24.c:24:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-lut64-p2-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:931:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 931 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_lut64_p2_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x4.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:912:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 912 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:913:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 913 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x12.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x12.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x12.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:914:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 914 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x12) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:915:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 915 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x20.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x20.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x20.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:916:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 916 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x20) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-sse41-rr2-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:917:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 917 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__sse41_rr2_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse41-int16.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-sse41-int32.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundd-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundne-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundu-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/roundz-sse41.c.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:946:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 946 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:970:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 970 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:966:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 966 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:992:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 992 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:971:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 971 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:967:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 967 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:993:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 993 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:968:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 968 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_min_u8.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:994:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 994 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1047:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1047 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1043:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1043 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1069:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1069 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1048:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1048 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1044:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1044 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1070:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1070 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 46%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/sequence/defs.cc.o [ 46%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1045:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1045 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1071:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1071 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1788:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1788 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1808:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1808 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1828:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1828 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1848:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1848 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1867:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1867 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1883:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1883 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1789:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1789 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1809:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1809 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1829:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1829 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1849:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1849 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1868:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1868 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1884:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1884 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1790:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1790 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1810:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1810 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1830:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1830 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1850:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1850 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1869:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1869 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1885:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1885 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1791:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1791 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1811:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1811 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1831:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1831 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1851:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1851 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1457:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1457 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1477:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1477 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1497:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1497 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1517:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1517 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1536:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1536 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1552:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1552 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1458:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1458 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld128.c.o [ 47%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/shape_inference.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1478:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1478 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1498:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1498 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1518:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1518 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1537:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1537 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1553:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1553 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1459:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1459 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1479:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1479 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1499:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1499 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1519:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1519 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_bf16.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1538:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1538 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1554:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1554 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1460:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1460 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1480:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1480 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1500:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1500 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1520:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1520 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:706:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 706 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:702:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 702 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:728:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 728 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor/defs.cc.o [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:707:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 707 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:703:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 703 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:729:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 729 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:704:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 704 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:730:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 730 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:802:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 802 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:798:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 798 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o [ 47%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:824:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 824 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:803:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 803 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:799:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 799 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:825:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 825 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:800:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 800 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:826:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 826 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:361:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 361 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x16.c.o [ 47%] Built target dnnl [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:362:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 362 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Linking CXX static library ../../../../lib/libdnnl_graph.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:363:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 363 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x32.c.o [ 47%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor/utils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:364:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 364 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 47%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:132:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 132 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:133:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 133 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:111:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 111 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:134:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:183:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:184:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 184 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qs8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qs8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gavgpool/gen/qs8-gavgpool-7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:162:50: note: previously declared as ‘const union xnn_qs8_avgpool_minmax_params *’ 162 | const union xnn_qs8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:185:1: note: in expansion of macro ‘DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 185 | DECLARE_QS8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_gavgpool_minmax_fp32_ukernel_7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1334:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1334 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1354:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1354 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1467:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1467 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1374:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1374 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1394:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1394 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor_proto_util.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1472:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1472 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1417:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1417 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1437:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1437 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse41.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1477:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1477 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1335:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1335 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1355:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1355 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1468:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1468 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1375:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1375 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1395:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1395 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1473:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1473 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1418:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1418 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1438:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1438 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse41.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1478:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1478 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1336:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1336 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1356:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1356 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1469:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1469 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1376:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1376 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1396:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1396 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor_util.cc.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1474:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1474 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1419:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1419 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld128.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1439:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1439 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse41.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1479:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1479 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Built target dnnl_graph [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld64.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld128.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_bf16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1337:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1337 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1357:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1357 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f32.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse41.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1470:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1470 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1377:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1377 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1397:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1397 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse41.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse41.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-sse41.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1475:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1475 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__sse41) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1080:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1080 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1100:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1100 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1120:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1120 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1140:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1140 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1163:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1163 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1183:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1183 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1081:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1081 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1101:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1101 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/traditionalml/defs.cc.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1121:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1121 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1141:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1141 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1164:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1164 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld128.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1184:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1184 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1082:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1082 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1102:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1102 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1122:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1122 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1142:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1142 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1165:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1165 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1185:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1185 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1083:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1083 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1103:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1103 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_f16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1123:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1123 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1143:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1143 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-fp32-sse41.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-gemmlowp-sse41.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndna-sse41.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-sse41-sra.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-requantization/qs8-requantization-rndnu-sse41-srl.c.o [ 48%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:128:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 128 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:129:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 129 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:130:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 130 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:131:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 131 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:138:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 138 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:139:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 139 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x24.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:140:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 140 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/traditionalml/old.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-sse41-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:141:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__sse41_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:183:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 183 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:184:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 184 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:185:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 185 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:186:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 186 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:193:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 193 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:194:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 194 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:195:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 195 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-sse41-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:196:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 196 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__sse41_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse41-x8.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:316:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 316 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/training/defs.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:317:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 317 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-sse41-x32.c.o [ 50%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/shape_inference/implementation.cc.o [ 50%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/version_converter/convert.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:318:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 318 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:36:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 36 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:37:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 37 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x32.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:38:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 38 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:108:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:109:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 109 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:137:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 137 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:138:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 138 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:539:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 539 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:554:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 554 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:540:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 540 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul32.c.o [ 50%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/version_converter/helper.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:555:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 555 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:548:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 548 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:614:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 614 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:549:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 549 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul32.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x8.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-sse41-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:615:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 615 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__sse41_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:454:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 454 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:455:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 455 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:456:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 456 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x32.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:235:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:457:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 457 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:236:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 236 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:27:47: warning: argument 8 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7p7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:214:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 214 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:237:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 237 | DECLARE_QU8_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7p7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c8.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:286:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 286 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c16.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:287:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 287 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c24.c:25:47: warning: argument 7 of type ‘const union xnn_qu8_avgpool_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_qu8_avgpool_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gavgpool/gen/qu8-gavgpool-7x-minmax-fp32-sse41-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:265:50: note: previously declared as ‘const union xnn_qu8_avgpool_minmax_params *’ 265 | const union xnn_qu8_avgpool_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:288:1: note: in expansion of macro ‘DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 288 | DECLARE_QU8_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_gavgpool_minmax_fp32_ukernel_7x__sse41_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:757:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 757 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld128.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:777:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 777 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:797:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 797 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_bf16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:817:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 817 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:836:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 836 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:852:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 852 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:758:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 758 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:778:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 778 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:798:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 798 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:818:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 818 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld64.c.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:837:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 837 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:853:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 853 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:759:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 759 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:779:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 779 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:799:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 799 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:819:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 819 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:838:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 838 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:854:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 854 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:760:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 760 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:780:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 780 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:800:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 800 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:820:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 820 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:510:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 510 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 50%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:530:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 530 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:550:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 550 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:570:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 570 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:589:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 589 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:605:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 605 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:511:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 511 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:531:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 531 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:551:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 551 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:571:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 571 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:590:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 590 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:606:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 606 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld64.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:512:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 512 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:532:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 532 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:552:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 552 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:572:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 572 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:591:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 591 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:607:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 607 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:513:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 513 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:533:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 533 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:553:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 553 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-sse41-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:573:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 573 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__sse41_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-gemmlowp-sse41.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-requantization/qu8-requantization-rndna-sse41.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:39:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 39 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:40:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 40 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x8.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:46:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 46 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:45:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 45 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:77:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 77 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:78:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 78 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:83:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 83 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-sse41-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:84:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__sse41_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse41-x8.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:409:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 409 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:410:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 410 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-sse41-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:411:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 411 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x8.c.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:91:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 91 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:92:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 92 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x32.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-sse41-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__sse41_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:42:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:43:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:71:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 71 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-sse41-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:72:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 72 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__sse41_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse41-c8.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-ibilinear/gen/s8-ibilinear-sse41-c16.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c:23:38: warning: argument 9 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-sse41-c16.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:86:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 86 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:93:1: note: in expansion of macro ‘DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_S8_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_s8_maxpool_minmax_ukernel_9p8x__sse41_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/s8-vclamp/s8-vclamp-sse41-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse41-x64.c:18:38: warning: argument 4 of type ‘const union xnn_s8_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 18 | const union xnn_s8_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/s8-vclamp/s8-vclamp-sse41-x64.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1129:41: note: previously declared as ‘const union xnn_s8_minmax_params *’ 1129 | const union xnn_s8_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1134:1: note: in expansion of macro ‘DECLARE_S8_VCLAMP_UKERNEL_FUNCTION’ 1134 | DECLARE_S8_VCLAMP_UKERNEL_FUNCTION(xnn_s8_vclamp_ukernel__sse41_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse41-c8.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/u8-ibilinear/gen/u8-ibilinear-sse41-c16.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:59:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 59 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:60:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 60 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:61:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 61 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int16-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:62:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 62 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int16_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:64:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 64 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:65:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 65 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:66:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 66 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx-int32-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:67:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 67 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx_int32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:84:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-avx.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:83:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 83 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx-acc2.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:86:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-avx.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:85:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 85 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx-acc2.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx-acc2.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:88:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 88 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-avx.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:87:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 87 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:164:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 164 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:163:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 163 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx-acc2.c.o [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:174:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 174 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:173:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 173 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:193:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 193 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 51%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:192:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 192 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:203:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 203 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:202:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 202 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:224:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 224 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:223:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 223 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:234:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 234 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:233:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 233 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:253:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 253 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx-acc2.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:126:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 126 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:252:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 252 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:263:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 263 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:262:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 262 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:127:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 127 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:128:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 128 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:129:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 129 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:251:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 251 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_bf16.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:252:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 252 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:253:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 253 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:254:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 254 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:255:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 255 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:256:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 256 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:257:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 257 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:258:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 258 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_6x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-7x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-avx-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:259:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 259 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-avx-broadcast.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sum_u8.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:557:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 557 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:558:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 558 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:559:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 559 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:560:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 560 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:561:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 561 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:562:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 562 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:563:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 563 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-6x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:564:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 564 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_6x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-7x8-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-avx-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:565:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 565 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_7x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:165:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 165 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f16.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:166:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 166 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:167:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 167 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:168:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 168 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:169:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 169 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:171:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 171 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:170:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 170 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x8-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x8-minmax-avx-broadcast.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx-2x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:172:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 172 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_6x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-avx-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-avx-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:173:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 173 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x8__avx_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_bf16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u8.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx-2x16.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_u64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i32.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:185:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 185 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x16.c.o [ 52%] Linking CXX static library ../../lib/libonnx.a /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:186:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 186 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:187:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 187 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:188:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 188 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x8.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x16.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:253:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 253 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:254:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 254 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Built target onnx /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:255:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 255 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_u64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_i64.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x32.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:256:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 256 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:328:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 328 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx-x16.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:329:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 329 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f32.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x16.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:530:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 530 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x16.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x8.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_bf16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_min_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:531:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 531 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:351:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 351 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:553:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 553 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:554:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 554 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:186:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 186 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:187:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 187 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx-x8.c.o [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:468:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 468 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:469:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 469 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:209:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 209 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 52%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:210:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 210 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:491:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 491 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:492:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 492 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:374:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 374 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:375:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 375 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x8.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_u64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:599:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 599 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f32.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:600:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 600 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_f64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:576:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 576 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_bf16.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:577:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 577 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_max_i64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:645:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 645 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_prod_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx-x16.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:646:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 646 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:232:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 232 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:233:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 233 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x8.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:514:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 514 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x16.c:23:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:515:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 515 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:397:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 397 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:398:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 398 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x8.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:622:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 622 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x16.c:23:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:623:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 623 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:242:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 242 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x16.c:22:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:243:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 243 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:325:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 325 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f16.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:326:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 326 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:327:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 327 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x40.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:328:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 328 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x48.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_bf16.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x8.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:329:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 329 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut4-p4-perm-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:330:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 330 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut4_p4_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x24.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x32.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x8.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:332:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 332 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x16.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:333:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 333 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x48.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x24.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:334:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 334 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x32.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:335:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 335 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x40.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x40.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:336:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 336 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x48.c:25:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-lut16-p3-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:337:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 337 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_lut16_p3_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:339:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 339 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:340:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 340 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:341:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 341 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:342:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 342 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:343:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 343 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx-rr2-p6-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx-rr2-p6-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:344:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 344 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx_rr2_p6_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx-x8.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:507:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 507 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx-x16.c.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x16.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:508:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 508 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx-x8.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x8.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:563:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 563 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i8.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x8.c:24:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:625:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 625 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x16.c:24:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:626:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 626 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u8.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x16.c:22:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:564:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 564 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u32.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:710:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 710 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_i64.o Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_bf16.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx-x16.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:711:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 711 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:656:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 656 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f16.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_u64.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:657:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 657 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:692:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 692 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-x8.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f32.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:693:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 693 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:674:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 674 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_bf16.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sum_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:675:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 675 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:933:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 933 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:934:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 934 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:935:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 935 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x32.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x40.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:936:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 936 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:937:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 937 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:938:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 938 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u8.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x56.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:939:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 939 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x72.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i32.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x80.c.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:941:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 941 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:940:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 940 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-div-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:942:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 942 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x16.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i64.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_i8.o [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x24.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:944:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 944 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:945:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 945 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:946:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 946 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 53%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x40.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f16.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:947:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 947 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_f64.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x48.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x56.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:948:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 948 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_gather.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_prod_bf16.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:949:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 949 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:951:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 951 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:950:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 950 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:952:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 952 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u8.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx-rr2-p5-nr2-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:953:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 953 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx_rr2_p5_nr2_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:764:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 764 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x16.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx-sqrt-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:765:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 765 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx_sqrt_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:221:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 221 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:222:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 222 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:604:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 604 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx-x16.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx-x8.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx-x16.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx-rr2-p5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:605:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 605 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i64.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx-rr2-lut4-p4-perm.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx-rr2-lut16-p3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1110:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1110 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx-rr2-p6.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1111:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1111 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-lut64-p2-div.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-p5-div.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_i8.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-p5-nr1.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx-rr2-p5-nr2.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_u64.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f16.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:947:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 947 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i8.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_bf16.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_min_f64.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:977:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 977 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:973:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 973 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:978:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 978 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u8.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:974:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 974 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:975:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 975 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:996:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 996 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul32.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1054:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1054 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:997:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 997 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1050:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1050 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:998:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 998 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1073:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1073 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1055:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1055 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1051:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1051 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul32.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1074:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1074 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1052:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1052 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i64.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_i32.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul32.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1793:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1793 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_max_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1075:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1075 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1813:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1813 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1833:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1833 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1871:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1871 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1853:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1853 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1887:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1887 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld64.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld128.c.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1794:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1794 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1834:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1834 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1814:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1814 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1854:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1854 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_bf16.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1872:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1872 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1888:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1888 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1795:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1795 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1815:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1815 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1835:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1835 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1855:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1855 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1873:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1873 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1889:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1889 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1796:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1796 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld128.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1816:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1816 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1836:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1836 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1856:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1856 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1462:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1462 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1482:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1482 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1502:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1502 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1522:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1522 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1540:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1540 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 54%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1556:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1556 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1463:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1463 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld128.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1483:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1483 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1503:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1503 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1523:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1523 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld64.c.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1541:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1541 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld128.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1464:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1464 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1557:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1557 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1484:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1484 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1504:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1504 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1524:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1524 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1542:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1542 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1558:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1558 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld64.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1465:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1465 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1485:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1485 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1525:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1525 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1505:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1505 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u8.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:713:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 713 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:709:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 709 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:714:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 714 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:710:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 710 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u32.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_i32.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:711:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 711 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:732:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 732 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul32.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_u64.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:809:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 809 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:805:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 805 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:734:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 734 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:733:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 733 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_f64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sum_bf16.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:806:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 806 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul16-add16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:810:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 810 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:828:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 828 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul32.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:829:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 829 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul16.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul32.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:807:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 807 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u8.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:366:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 366 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:830:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 830 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i32.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x16.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x24.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x32.c.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:367:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 367 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:369:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 369 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:368:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 368 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1339:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1339 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1359:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1359 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f32.o [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1481:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1481 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1379:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1379 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1399:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1399 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1486:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1486 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1421:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1421 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1441:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1441 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-avx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1491:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1491 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1340:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1340 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1360:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1360 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1482:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1482 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1380:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1380 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1400:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1400 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1487:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1487 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1422:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1422 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1442:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1442 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-avx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1492:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1492 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1341:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1341 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1361:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1361 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1483:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1483 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1381:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1381 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1401:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1401 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1488:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1488 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1423:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1423 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1443:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1443 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-avx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1493:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1493 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1342:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1342 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1362:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1362 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 55%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1484:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1484 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i8.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_prod_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1382:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1382 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1402:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1402 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-avx.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-avx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1489:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1489 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1085:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1085 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld128.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1105:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1105 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1125:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1125 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1145:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1145 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1167:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1167 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1187:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1187 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1086:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1086 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1106:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1106 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1126:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1126 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1146:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1146 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1168:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1168 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1188:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1188 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1087:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1087 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1107:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1107 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1127:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1127 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1147:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1147 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1169:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1169 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1189:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1189 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1088:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1088 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1108:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1108 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1128:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1128 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1148:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1148 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:133:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 133 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:134:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 134 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:135:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 135 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:136:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 136 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:143:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 143 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:144:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 144 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x24.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:145:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 145 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:146:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 146 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:188:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 188 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x16.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:189:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 189 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:190:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 190 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u32.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul16-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:191:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 191 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul16_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:198:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 198 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x16.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x24.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:199:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 199 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x24.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:200:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 200 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x32.c:24:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx-mul32-ld32-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:201:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 201 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-x8.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-x16.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_i64.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx-x32.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x8.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:322:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 322 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:40:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 40 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:321:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 321 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_f16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:320:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 320 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_min_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:41:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 41 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:42:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 42 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:111:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 111 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmul/gen/qs8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:112:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 112 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:140:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 140 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vmulc/gen/qs8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:91:46: note: previously declared as ‘const union xnn_qs8_mul_minmax_params *’ 91 | const union xnn_qs8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:141:1: note: in expansion of macro ‘DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION’ 141 | DECLARE_QS8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:542:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 542 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:543:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 543 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:557:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 557 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u8.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i8.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:558:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 558 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:551:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 551 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i32.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul32.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul16.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u32.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul16.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:552:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 552 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x8.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x16.c.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:617:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 617 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul32.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:618:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 618 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld64.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_i64.o Compiling broadcast.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:762:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 762 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:459:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 459 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:462:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 462 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:782:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 782 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:461:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 461 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:460:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 460 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_f16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_bf16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_max_u64.o [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:802:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 802 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 56%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:822:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 822 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:840:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 840 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:856:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 856 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:763:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 763 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:783:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 783 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:803:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 803 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:823:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 823 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:841:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 841 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:857:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 857 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:764:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 764 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:784:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 784 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:804:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 804 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:824:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 824 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i32.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld64.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:842:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 842 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld128.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:858:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 858 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:765:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 765 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:785:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 785 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:805:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 805 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:825:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 825 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld64.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:515:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 515 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:535:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 535 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:555:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 555 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:575:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 575 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:593:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 593 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:609:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 609 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:516:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 516 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:536:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 536 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:556:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 556 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:576:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 576 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u32.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u8.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_i8.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld64.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:594:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 594 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:610:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 610 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld64.c.o [ 57%] Built target fbgemm_avx2 /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:517:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 517 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:537:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 537 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:557:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 557 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:577:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 577 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:595:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 595 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:611:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 611 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:518:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 518 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:538:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 538 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:558:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 558 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-avx-ld128.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:578:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 578 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__avx_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x8.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:42:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 42 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:43:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 43 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Linking CXX static library ../../lib/libfbgemm.a [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:48:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 48 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f64.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x16.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_bf16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f32.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:80:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 80 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:49:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 49 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:81:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 81 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x8.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:86:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x16.c:24:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx-mul32-ld32-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:87:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 87 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-x8.c.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_premulsum_f16.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-x16.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x8.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:413:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 413 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:415:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 415 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x8.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:414:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 414 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling all_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/all_reduce_max_u64.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x16.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x8.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:95:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 95 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:96:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 96 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o [ 57%] Built target fbgemm [ 57%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/AccumulateType.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:97:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 97 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:45:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 45 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmul/gen/qu8-vmul-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:46:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 46 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmul_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:74:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_mul_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_mul_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vmulc/gen/qu8-vmulc-minmax-fp32-avx-mul16-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:25:46: note: previously declared as ‘const union xnn_qu8_mul_minmax_params *’ 25 | const union xnn_qu8_mul_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmul.h:75:1: note: in expansion of macro ‘DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION’ 75 | DECLARE_QU8_VMUL_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vmulc_minmax_fp32_ukernel__avx_mul16_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x16.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x16.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:42:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 42 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x32.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:43:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 43 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x48.c.o [ 57%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/CPUGeneratorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x48.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:44:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 44 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:45:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 45 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c.o [ 57%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ConjugateFallback.cpp.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:130:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 130 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_multi_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Context.cpp.o [ 57%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/DLConvertor.cpp.o [ 57%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Dispatch.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-multi-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:129:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 129 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_multi_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 57%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/DynamicLibrary.cpp.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c.o [ 57%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:131:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 131 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-multi-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:132:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 132 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x32_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x32_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x32-transposec/gen/x32-transposec-8x8-reuse-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:81:45: note: previously declared as ‘const union xnn_x32_transpose_params *’ 81 | const union xnn_x32_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:133:1: note: in expansion of macro ‘DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION’ 133 | DECLARE_X32_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x32_transposec_ukernel__8x8_reuse_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_bf16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:66:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 66 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_multi_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-multi-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:67:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 67 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_multi_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-multi-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:68:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 68 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_multi_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-mov-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:69:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 69 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_reuse_mov_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-multi-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:70:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 70 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_reuse_multi_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c:27:42: warning: argument 7 of type ‘const union xnn_x64_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_x64_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x64-transposec/gen/x64-transposec-4x4-reuse-switch-avx.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:40:45: note: previously declared as ‘const union xnn_x64_transpose_params *’ 40 | const union xnn_x64_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:71:1: note: in expansion of macro ‘DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION’ 71 | DECLARE_X64_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x64_transposec_ukernel__4x4_reuse_switch_avx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/EmptyTensor.cpp.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c:25:44: warning: argument 11 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:34:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 34 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:36:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 36 | DECLARE_F16_AVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c:24:44: warning: argument 10 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-f16c-c8.c:10: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:51:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 51 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/avgpool.h:53:1: note: in expansion of macro ‘DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 53 | DECLARE_F16_AVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_avgpool_minmax_ukernel_9x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ExpandUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:69:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 69 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-f16c-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:70:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 70 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FuncTorchTLS.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:75:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 75 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalInverses.cpp.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:76:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 76 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:77:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 77 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c:27:44: warning: argument 8 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7p7x-minmax-f16c-c32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:68:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 68 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:78:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 78 | DECLARE_F16_GAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7p7x__f16c_c32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c8.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:96:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 96 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:97:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 97 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_bf16.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c24.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:98:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 98 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-prelu/gen/f16-prelu-f16c-2x16.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalStorageImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c:23:39: warning: argument 9 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-f16c-c8.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/maxpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F16_MAXPOOL_MINMAX_UKERNEL_FUNCTION(xnn_f16_maxpool_minmax_ukernel_9p8x__f16c_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c:25:44: warning: argument 7 of type ‘const union xnn_f16_scaleminmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_scaleminmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gavgpool/gen/f16-gavgpool-7x-minmax-f16c-c32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:89:47: note: previously declared as ‘const union xnn_f16_scaleminmax_params *’ 89 | const union xnn_f16_scaleminmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gavgpool.h:99:1: note: in expansion of macro ‘DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 99 | DECLARE_F16_GAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_gavgpool_minmax_ukernel_7x__f16c_c32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalTensorWrapper.cpp.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/FunctionalizeFallbackKernel.cpp.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyBatchedFallback.cpp.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-rmax/f16-rmax-f16c.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x16.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyBatchedTensorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:83:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 83 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vadd_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyBatchingRegistrations.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vadd-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:84:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 84 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vadd_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:148:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vaddc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x16.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:85:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 85 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdiv_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyVmapMode.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vaddc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:149:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vaddc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/LegacyVmapTransforms.cpp.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/MapAllocator.cpp.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/MemoryOverlap.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdiv-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:86:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 86 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdiv_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:150:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/NamedTensorUtils.cpp.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/NestedTensorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vdivc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:151:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 151 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vdivc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelCommon.cpp.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:54:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 54 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:55:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 55 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmaxc-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:109:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 109 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmaxc_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelNative.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmaxc-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:110:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 110 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmaxc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:56:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 56 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmin_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmin-f16c-x16.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vminc-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:111:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 111 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vminc_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelNativeTBB.cpp.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelOpenMP.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmin-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:57:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 57 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vmin_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ParallelThreadPoolNative.cpp.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:87:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 87 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmul_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/PythonTorchFunctionTLS.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vminc-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:112:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 112 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vminc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SavedTensorHooks.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmul-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:88:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 88 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmul_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:152:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 152 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vmulc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:153:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x8.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ScalarOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:154:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrdivc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrdivc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:155:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 155 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrdivc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x16.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:156:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 156 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrsubc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vrsubc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:157:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 157 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vrsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x8.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SequenceNumber.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:58:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 58 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiff_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x16.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiff-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:59:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 59 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiff_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SparseCsrTensorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x8.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:113:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 113 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiffc_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x16.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsqrdiffc-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:27:45: note: previously declared as ‘const union xnn_f16_default_params *’ 27 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:114:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_UKERNEL_FUNCTION’ 114 | DECLARE_F16_VBINOP_UKERNEL_FUNCTION(xnn_f16_vsqrdiffc_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SparseTensorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:89:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsub_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/SparseTensorUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsub-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:90:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsub_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x8.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:158:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsubc_minmax_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorGeometry.cpp.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vclamp/gen/f16-vclamp-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vbinary/gen/f16-vsubc-minmax-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:35:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 35 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:159:1: note: in expansion of macro ‘DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION’ 159 | DECLARE_F16_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f16_vsubc_minmax_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x8.c:23:39: warning: argument 4 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:38:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 38 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:43:1: note: in expansion of macro ‘DECLARE_F16_VCLAMP_UKERNEL_FUNCTION’ 43 | DECLARE_F16_VCLAMP_UKERNEL_FUNCTION(xnn_f16_vclamp_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vclamp/gen/f16-vclamp-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vclamp/gen/f16-vclamp-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:38:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 38 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:44:1: note: in expansion of macro ‘DECLARE_F16_VCLAMP_UKERNEL_FUNCTION’ 44 | DECLARE_F16_VCLAMP_UKERNEL_FUNCTION(xnn_f16_vclamp_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vhswish/gen/f16-vhswish-f16c-x8.c.o [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vhswish/gen/f16-vhswish-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x8.c:23:39: warning: argument 4 of type ‘const union xnn_f16_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:66:42: note: previously declared as ‘const union xnn_f16_hswish_params *’ 66 | const union xnn_f16_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:71:1: note: in expansion of macro ‘DECLARE_F16_VHSWISH_UKERNEL_FUNCTION’ 71 | DECLARE_F16_VHSWISH_UKERNEL_FUNCTION(xnn_f16_vhswish_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 58%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vlrelu/gen/f16-vlrelu-f16c-x8.c.o [ 58%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorIndexing.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f16_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vhswish/gen/f16-vhswish-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:66:42: note: previously declared as ‘const union xnn_f16_hswish_params *’ 66 | const union xnn_f16_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:72:1: note: in expansion of macro ‘DECLARE_F16_VHSWISH_UKERNEL_FUNCTION’ 72 | DECLARE_F16_VHSWISH_UKERNEL_FUNCTION(xnn_f16_vhswish_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorIterator.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorMeta.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorNames.cpp.o [ 59%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/TensorUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x8.c:23:38: warning: argument 4 of type ‘const union xnn_f16_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:534:41: note: previously declared as ‘const union xnn_f16_lrelu_params *’ 534 | const union xnn_f16_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:539:1: note: in expansion of macro ‘DECLARE_F16_VLRELU_UKERNEL_FUNCTION’ 539 | DECLARE_F16_VLRELU_UKERNEL_FUNCTION(xnn_f16_vlrelu_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vlrelu/gen/f16-vlrelu-f16c-x16.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndd-f16c-x8.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndd-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x16.c:23:38: warning: argument 4 of type ‘const union xnn_f16_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vlrelu/gen/f16-vlrelu-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:534:41: note: previously declared as ‘const union xnn_f16_lrelu_params *’ 534 | const union xnn_f16_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:540:1: note: in expansion of macro ‘DECLARE_F16_VLRELU_UKERNEL_FUNCTION’ 540 | DECLARE_F16_VLRELU_UKERNEL_FUNCTION(xnn_f16_vlrelu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:112:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 112 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndd_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndd-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:113:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 113 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndd_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_bf16.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndne-f16c-x8.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndne-f16c-x16.c.o [ 59%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndu-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:97:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 97 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndne_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndne-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:98:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 98 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndne_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndu-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:107:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 107 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndu_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ThreadLocalPythonObjects.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndu-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:108:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 108 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndu_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndz-f16c-x8.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vrnd/gen/f16-vrndz-f16c-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x8.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:102:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 102 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndz_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f16_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vrnd/gen/f16-vrndz-f16c-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:95:39: note: previously declared as ‘const union xnn_f16_rnd_params *’ 95 | const union xnn_f16_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:103:1: note: in expansion of macro ‘DECLARE_F16_VRND_UKERNEL_FUNCTION’ 103 | DECLARE_F16_VRND_UKERNEL_FUNCTION(xnn_f16_vrndz_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x8.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x16.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x8.c:23:37: warning: argument 4 of type ‘const union xnn_f16_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:190:40: note: previously declared as ‘const union xnn_f16_sqrt_params *’ 190 | const union xnn_f16_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:204:1: note: in expansion of macro ‘DECLARE_F16_VSQRT_UKERNEL_FUNCTION’ 204 | DECLARE_F16_VSQRT_UKERNEL_FUNCTION(xnn_f16_vsqrt_ukernel__f16c_sqrt_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x16.c:23:37: warning: argument 4 of type ‘const union xnn_f16_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsqrt/gen/f16-vsqrt-f16c-sqrt-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:190:40: note: previously declared as ‘const union xnn_f16_sqrt_params *’ 190 | const union xnn_f16_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:205:1: note: in expansion of macro ‘DECLARE_F16_VSQRT_UKERNEL_FUNCTION’ 205 | DECLARE_F16_VSQRT_UKERNEL_FUNCTION(xnn_f16_vsqrt_ukernel__f16c_sqrt_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:176:43: note: previously declared as ‘const union xnn_f16_default_params *’ 176 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:181:1: note: in expansion of macro ‘DECLARE_F16_VSQR_UKERNEL_FUNCTION’ 181 | DECLARE_F16_VSQR_UKERNEL_FUNCTION(xnn_f16_vsqr_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vunary/gen/f16-vsqr-f16c-x16.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_default_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vunary/gen/f16-vsqr-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:176:43: note: previously declared as ‘const union xnn_f16_default_params *’ 176 | const union xnn_f16_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:182:1: note: in expansion of macro ‘DECLARE_F16_VSQR_UKERNEL_FUNCTION’ 182 | DECLARE_F16_VSQR_UKERNEL_FUNCTION(xnn_f16_vsqr_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:131:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 131 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__f16c_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x16.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f16-f32-f16c.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-f16c-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:132:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 132 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__f16c_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ThreadLocalState.cpp.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/cvt-f32-f16-f16c.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-xop-mul16-add16.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:949:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 949 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul32.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:980:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 980 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1000:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1000 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:981:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 981 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Version.cpp.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1001:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1001 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul32.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/VmapModeRegistrations.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1002:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1002 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1057:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1057 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/ZeroTensorFallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1077:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1077 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/SparseTensorImpl.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1058:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1058 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul32.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/autocast_mode.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/cpu/FlushDenormal.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1078:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1078 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-xop-mul32.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1079:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1079 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1798:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1798 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_bf16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1818:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1818 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/CPUGuardImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1838:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1838 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/CUDAHooksInterface.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1858:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1858 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/HIPHooksInterface.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1875:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1875 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/MPSHooksInterface.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/MetaGuardImpl.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/TensorUtils.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1891:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1891 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1799:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1799 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/detail/ORTHooksInterface.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/ADInterpreters.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesActivation.cpp.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesBinaryOps.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesConvolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1819:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1819 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1839:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1839 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1876:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1876 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1859:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1859 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesDecompositions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1892:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1892 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld128.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesDynamic.cpp.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1800:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1800 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1820:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1820 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1840:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1840 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1860:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1860 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld64.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1877:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1877 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld64.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesFactory.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1893:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1893 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesHelper.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1801:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1801 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld128.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1821:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1821 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesLinearAlgebra.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1841:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1841 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesLoss.cpp.o [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesModules.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1861:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1861 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld128.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1467:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1467 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesNorm.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1487:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1487 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesPooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1507:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1507 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1544:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1544 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesRandomness.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1527:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1527 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld128.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld128.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1560:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1560 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_premulsum_bf16.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1468:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1468 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesReduceOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1488:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1488 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesScatterOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1508:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1508 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1528:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1528 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1545:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1545 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1561:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1561 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1469:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1469 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1489:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1489 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1509:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1509 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld64.c.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1546:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1546 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1529:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1529 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1562:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1562 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1470:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1470 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1490:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1490 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1510:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1510 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1530:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1530 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 60%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:716:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 716 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesUnaryOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:736:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 736 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:717:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 717 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul32.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:737:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 737 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchRulesViews.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchedFallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:738:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 738 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:812:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 812 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/BatchedTensorImpl.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul32.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul32.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:832:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 832 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:32:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul16-add16.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:813:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 813 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul16_add16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:833:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 833 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:834:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 834 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_bf16.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/DynamicLayer.cpp.o Compiling functions.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/functions.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld64.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/FunctionalizeInterpreter.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/Interpreter.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1344:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1344 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1364:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1364 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-xop.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/LegacyBatchingRegistrations.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/LegacyVmapTransforms.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1495:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1495 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1384:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1384 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/PlumbingHelper.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1404:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1404 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-xop.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1425:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1425 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/PyTorchOperatorHacks.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1500:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1500 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-xop.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-xop.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1505:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1505 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x4c8__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1445:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1445 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/TensorWrapper.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1345:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1345 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/VmapInterpreter.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/functorch/VmapModeRegistrations.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1365:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1365 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-xop.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1496:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1496 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1385:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1385 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/record_function.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/ATenGeneral.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1501:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1501 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/BackendSelectFallbackKernel.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/DeprecatedTypeProperties.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1405:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1405 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/DeprecatedTypePropertiesRegistry.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Dict.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1426:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1426 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1446:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1446 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Dimname.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Formatting.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-xop.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x4c8-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1506:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1506 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x4c8__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld64.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Generator.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1346:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1346 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-xop.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1366:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1366 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/List.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1497:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1497 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1386:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1386 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1406:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1406 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1502:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1502 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/NamedRegistrations.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/NamedTensor.cpp.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld64.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/PythonFallbackKernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1427:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1427 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1447:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1447 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-xop.c:33:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x4c8-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1507:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1507 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x4c8__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/PythonOpRegistrationTrampoline.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Range.cpp.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Tensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1347:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1347 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-xop.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c.o [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-xop.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1367:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1367 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/TorchDispatchUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1498:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1498 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld64.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/VariableFallbackKernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-xop.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-xw-minmax-fp32-xop.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1503:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1503 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_4x4c2s4__xop) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1387:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1387 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1407:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1407 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 61%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld128.c.o [ 61%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/VariableHooksInterface.cpp.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/Vitals.cpp.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/adaption.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1090:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1090 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/blob.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1110:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1110 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/boxing/KernelFunction.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1130:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1130 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/class_type.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1150:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1150 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/custom_class.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld128.c.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld128.c.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1191:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1191 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/DispatchKeyExtractor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1171:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1171 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1091:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1091 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/Dispatcher.cpp.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/ObservedOperators.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1131:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1131 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dispatch/OperatorEntry.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1111:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1111 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/dynamic_type.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1151:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1151 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld128.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/function_schema.cpp.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/interned_strings.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1172:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1172 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld64.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/ivalue.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1192:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1192 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/library.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1092:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1092 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1112:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1112 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/op_registration/infer_schema.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld64.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/op_registration/op_registration.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1152:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1152 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/operator_name.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1132:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1132 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld128.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/register_symbols.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1173:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1173 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/tensor_type.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1193:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1193 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/type.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1093:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1093 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/type_factory.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1113:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1113 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1133:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1133 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/union_type.cpp.o [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x8.c.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/error_report.cpp.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/function_schema_parser.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1153:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1153 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/lexer.cpp.o [ 62%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/schema_type_parser.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:148:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 148 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 62%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x16.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x24.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x32.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:149:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 149 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/strtod.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x24.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x24.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:150:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 150 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/source_range.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:203:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 203 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Activation.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x32.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-xop-mul32-ld32-x32.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:151:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 151 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__xop_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x16.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x24.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x32.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-xop-mul32.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-xop-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:204:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 204 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AdaptiveAveragePooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x24.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x24.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:205:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 205 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x32.c:28:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-xop-mul32-ld32-x32.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:206:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 206 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__xop_mul32_ld32_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-xop-mul32.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-xop-mul32.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AdaptiveAveragePooling3d.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:561:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 561 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:560:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 560 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AdaptiveMaxPooling2d.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AdaptiveMaxPooling3d.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld128.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AffineGridGenerator.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AutogradComposite.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:620:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 620 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-xop-mul32.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-xop-mul32.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:621:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__xop_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:767:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 767 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AveragePool2d.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/AveragePool3d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:807:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 807 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/BatchLinearAlgebra.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/BatchLinearAlgebraKernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:787:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 787 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/BinaryOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:827:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 827 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:844:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 844 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Blas.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:860:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 860 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/BlasKernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:768:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 768 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld128.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Bucketization.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:788:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 788 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld64.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/CPUBlas.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:828:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 828 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/CPUFallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:808:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 808 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ChanelShuffle.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:845:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 845 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:769:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 769 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld128.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Col2Im.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ComparisonUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:861:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 861 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Convolution.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:789:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 789 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:829:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 829 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld128.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ConvolutionMM2d.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld64.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:846:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 846 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ConvolutionMM3d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:809:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 809 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld64.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ConvolutionTBC.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld128.c:33:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 33 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:862:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 862 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Copy.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld128.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Correlation.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:770:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 770 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:790:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 790 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:810:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 810 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Cross.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/DilatedMaxPool2d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:34:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 34 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:830:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 830 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/DilatedMaxPool3d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:520:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 520 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/DispatchStub.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:540:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 540 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Distance.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:560:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 560 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Distributions.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:580:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 580 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Dropout.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:613:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 613 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:597:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 597 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Embedding.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/EmbeddingBag.cpp.o [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Fill.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:521:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 521 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:541:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 541 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 63%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ForeachOpsKernels.cpp.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld64.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld128.c.o [ 63%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:561:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 561 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:598:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 598 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:581:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 581 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/FractionalMaxPool2d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:614:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 614 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/FractionalMaxPool3d.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/FunctionOfAMatrixUtils.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/GatedLinearUnit.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:522:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 522 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld128.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/GridSampler.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:542:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 542 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Histogram.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:562:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 562 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld64.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld128.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Im2Col.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:582:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 582 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/IndexingUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:615:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 615 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld64.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Integration.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x4c8-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:599:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 599 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x4c8__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Itertools.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:523:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 523 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/Convolution.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld128.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:543:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 543 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LegacyBatching.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x8.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld64.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:563:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 563 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x8.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LegacyBridge.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x16.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3-acc2.c.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:35:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 35 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x4c2s4-minmax-fp32-xop-ld128.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:583:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 583 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x4c2s4__xop_ld128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Lerp.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:52:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 52 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:89:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Linear.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x16.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-xop-mul32-ld32-x16.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:90:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__xop_mul32_ld32_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LinearAlgebra.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:478:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 478 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x8.c:28:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-xop-mul32-ld32-x8.c:20: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:51:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 51 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__xop_mul32_ld32_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Loss.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LossCTC.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:477:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 477 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LossMultiLabelMargin.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:480:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 480 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LossMultiMargin.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:479:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 479 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:482:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 482 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LossNLL.cpp.o [ 64%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/LossNLL2d.cpp.o [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-3p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:481:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 481 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_3p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 64%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:484:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 484 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/MaxPooling.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:483:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 483 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/MaxUnpooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:486:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 486 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:485:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 485 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Memory.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/MetaTensor.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:488:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 488 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NNPACK.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-4p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:487:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 487 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_4p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NaiveConvolutionTranspose2d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:489:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 489 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NaiveConvolutionTranspose3d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:490:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 490 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3-acc2.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NaiveDilatedConvolution.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:492:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 492 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:494:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 494 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3-acc2.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NamedTensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:493:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 493 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-9p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:491:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 491 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/NegateFallback.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Normalization.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Onehot.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/PackedSequence.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:496:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 496 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/PadNd.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:495:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 495 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:498:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 498 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/PixelShuffle.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/PointwiseOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:497:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 497 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:500:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 500 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p32c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-dwconv/gen/f16-dwconv-25p32c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:450:40: note: previously declared as ‘const union xnn_f16_minmax_params *’ 450 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:499:1: note: in expansion of macro ‘DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 499 | DECLARE_F16_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_dwconv_minmax_ukernel_25p32c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-ibilinear/gen/f16-ibilinear-fma3-c8.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-ibilinear/gen/f16-ibilinear-fma3-c16.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vmulcaddc/gen/f16-vmulcaddc-c8-minmax-fma3-2x.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vmulcaddc/gen/f16-vmulcaddc-c16-minmax-fma3-2x.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Pooling.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Pow.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c8-minmax-fma3-2x.c:27:39: warning: argument 8 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c8-minmax-fma3-2x.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:68:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 68 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:73:1: note: in expansion of macro ‘DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 73 | DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulcaddc_minmax_ukernel_c8__fma3_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/QuantizedLinear.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c16-minmax-fma3-2x.c:27:39: warning: argument 8 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vmulcaddc/gen/f16-vmulcaddc-c16-minmax-fma3-2x.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:68:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 68 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vmulcaddc.h:74:1: note: in expansion of macro ‘DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION’ 74 | DECLARE_F16_VMULCADDC_MINMAX_UKERNEL_FUNCTION(xnn_f16_vmulcaddc_minmax_ukernel_c16__fma3_2x) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/RNN.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/RangeFactories.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3-acc2.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReduceAllOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:90:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 90 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l8c8s4r-minmax-fma3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:89:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 89 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l8c8s4r__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReduceOps.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReflectionPad.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Repeat.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:92:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c8s4r-minmax-fma3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:91:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 91 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c8s4r__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ReplicationPadding.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:94:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 94 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c8s4r-minmax-fma3.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:93:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c8s4r__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Resize.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:165:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 165 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:178:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 178 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/RowwisePrune.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:166:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 166 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Scalar.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SegmentReduce.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:177:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 177 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:195:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 195 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SobolEngineOps.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SobolEngineOpsUtils.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SoftMax.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:207:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 207 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:194:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 194 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Sorting.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SpectralOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:206:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 206 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/SummaryOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:226:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 226 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:225:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 225 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorAdvancedIndexing.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:237:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 237 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:238:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 238 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorCompare.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorConversions.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3-acc2.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:255:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 255 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p8c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:254:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 254 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p8c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x8-minmax-fma3-broadcast.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorFactories.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3-acc2.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:267:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 267 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__fma3_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorIteratorReduce.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-fma3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:266:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 266 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__fma3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:262:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 262 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorProperties.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:261:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 261 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorShape.cpp.o [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TensorTransformations.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:272:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 272 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TestOps.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:263:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 263 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 65%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TriangularOps.cpp.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16-minmax-fma3-broadcast.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16s4-minmax-fma3-broadcast.c.o [ 65%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-3x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:273:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 273 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_3x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:274:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 274 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/TypeProperties.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:265:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 265 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:264:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 264 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UnaryOps.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Unfold2d.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Unfold3d.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:266:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 266 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UnfoldBackward.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:267:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 267 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/Unique.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16s4-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:275:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 275 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:268:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 268 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_6x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/Sorting.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-7x8-minmax-fma3-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSample.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleBicubic2d.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-8x8-minmax-fma3-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:269:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 269 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleBilinear2d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x8-minmax-fma3-broadcast.c:27:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 27 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:270:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 270 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_8x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16-minmax-fma3-broadcast.c.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleLinear1d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:567:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 567 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleNearest1d.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16s4-minmax-fma3-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:568:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 568 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleNearest2d.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-3x16s4-minmax-fma3-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:578:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 578 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:569:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 569 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleNearest3d.cpp.o [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/UpSampleTrilinear3d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-3x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:579:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 579 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_3x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:570:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 570 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/VariableMethodStubs.cpp.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16-minmax-fma3-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:571:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 571 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/WeightNorm.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/RNN.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/RNN.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:580:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 580 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x8-minmax-fma3-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16-minmax-fma3-broadcast.c.o [ 66%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16s4-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:573:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 573 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:572:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 572 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-6x8-minmax-fma3-broadcast.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/group_norm.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-7x8-minmax-fma3-broadcast.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/layer_norm.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-8x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:574:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 574 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_6x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16s4-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:581:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 581 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:575:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 575 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_7x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/prim_native_functions.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/verbose_wrapper.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x8-minmax-fma3-broadcast.c:28:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:576:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 576 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_8x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/library.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-fma3-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16s4-minmax-fma3-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:175:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 175 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-3x16s4-minmax-fma3-broadcast.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/fbgemm_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:186:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 186 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:176:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 176 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_deserialize.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:187:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 187 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-3x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:177:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 177 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_3x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-fma3-broadcast.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_dynamic.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:178:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 178 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_prepack.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:179:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 179 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16s4-minmax-fma3-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x8-minmax-fma3-broadcast.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_serialize.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:180:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 180 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/ao_sparse/quantized/cpu/qlinear_unpack.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:188:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 188 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/ParamUtils.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16s4-minmax-fma3-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x8-minmax-fma3-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:181:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 181 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x8-minmax-fma3-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-8x8-minmax-fma3-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-fma3-x8.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SoftMax.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-fma3-x16.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16s4-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16s4-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:189:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 189 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16s4__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:182:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 182 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_6x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x16.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:183:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 183 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseBinaryOpIntersectionKernel.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseBlas.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x8-minmax-fma3-broadcast.c:29:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x8-minmax-fma3-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:184:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 184 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_8x8__fma3_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x8.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:510:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 510 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__fma3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseBlasImpl.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x32.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x40.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseCsrTensor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x8.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:767:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 767 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseCsrTensorMath.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x16.c:22:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-fma3-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:511:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 511 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__fma3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x48.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseFactories.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x16.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:768:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 768 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x56.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x64.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-fma3-nr1fma1adj.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x32.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:770:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 770 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x40.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:771:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 771 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x24.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:769:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 769 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseMatMul.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseTensor.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-fma3-nr1fma.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseTensorMath.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x48.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:772:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 772 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/SparseUnaryOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x64.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:774:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 774 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x56.c:22:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-fma3-nr1fma1adj-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:773:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 773 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__fma3_nr1fma1adj_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-fma3-nr2fma.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/sparse/ValidateCompressedIndicesKernel.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorAliases.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorBackward.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorBinaryOps.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x8-minmax-avx2-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:100:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 100 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_1x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorFactories.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-1x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:101:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 101 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorMath.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-3x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:102:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 102 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_3x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorMatmul.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:103:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 103 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_4x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorTransformerFunctions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-4x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:104:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 104 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:105:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 105 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_5x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-5x16-minmax-avx2-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-6x8-minmax-avx2-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-gemm/gen/f16-gemm-7x8-minmax-avx2-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-1x8-minmax-avx2-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-1x16-minmax-avx2-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-3x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-7x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-7x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:108:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 108 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_7x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x16-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-5x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:106:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 106 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_5x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:412:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 412 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_1x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorUnaryOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-6x8-minmax-avx2-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-gemm/gen/f16-gemm-6x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:76:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 76 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:107:1: note: in expansion of macro ‘DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION’ 107 | DECLARE_F16_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_gemm_minmax_ukernel_6x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/nested/NestedTensorUtils.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/AffineQuantizer.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-3x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-3x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:414:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 414 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_3x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/AffineQuantizerBase.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-4x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-1x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:413:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 413 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_1x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/Copy.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:415:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 415 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_4x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-4x16-minmax-avx2-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-5x8-minmax-avx2-broadcast.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-5x16-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:417:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 417 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_5x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-6x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-4x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:416:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 416 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_4x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/FakeQuantPerChannelAffine.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x16-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-5x16-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:418:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 418 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_5x16__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-igemm/gen/f16-igemm-7x8-minmax-avx2-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-6x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-6x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:419:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 419 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_6x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/FakeQuantPerTensorAffine.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-7x8-minmax-avx2-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-igemm/gen/f16-igemm-7x8-minmax-avx2-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:392:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 392 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:420:1: note: in expansion of macro ‘DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION’ 420 | DECLARE_F16_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f16_igemm_minmax_ukernel_7x8__avx2_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-avx2-c8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-avx2-c8.c:26:39: warning: argument 12 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 26 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-avx2-c8.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:32:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 32 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:34:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION’ 34 | DECLARE_F16_PAVGPOOL_MINMAX_MULTIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9p8x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-pavgpool/f16-pavgpool-9x-minmax-avx2-c8.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc2.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc4.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-avx2-c8.c:25:39: warning: argument 11 of type ‘const union xnn_f16_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 25 | const union xnn_f16_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-avx2-c8.c:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:50:42: note: previously declared as ‘const union xnn_f16_minmax_params *’ 50 | const union xnn_f16_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/pavgpool.h:52:1: note: in expansion of macro ‘DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 52 | DECLARE_F16_PAVGPOOL_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f16_pavgpool_minmax_ukernel_9x__avx2_c8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/QTensor.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:28:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 28 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x32_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:29:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 29 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x32_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc5.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/TensorAdvancedIndexing.cpp.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/TensorCompare.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:27:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 27 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/TensorFactories.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:31:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 31 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/AdaptiveAveragePooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:32:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 32 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc2.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:30:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 30 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/AveragePool2d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:34:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 34 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x48_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/AveragePool3d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:35:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 35 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x48_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc2.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/BinaryOps.cpp.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc4.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:33:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 33 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/ChannelShuffle.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:37:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 37 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x64_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72-acc3.c.o [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/IntReprQuant.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:36:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 36 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x64-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:38:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 38 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x64_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/LinearUnpackImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:40:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 40 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x72_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc2.c.o [ 67%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc5.c.o [ 68%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:39:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 39 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:42:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 42 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x80_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:43:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 43 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x80_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/MakePerTensorQuantizedTensor.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/Normalization.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/Pooling.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:41:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 41 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc3.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/ReduceOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:45:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 45 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:46:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 46 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/RuyUtils.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc6.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/Sorting.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc6.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96-acc6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:47:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 47 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96_acc6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/TensorOperators.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96.c:24:41: warning: argument 6 of type ‘const union xnn_f16_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f16_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-avx2-rr1-p2-x96.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:25:44: note: previously declared as ‘const union xnn_f16_expminus_params *’ 25 | const union xnn_f16_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:44:1: note: in expansion of macro ‘DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 44 | DECLARE_F16_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f16_raddstoreexpminusmax_ukernel__avx2_rr1_p2_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x8.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x8.c:23:36: warning: argument 4 of type ‘const union xnn_f16_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:52:39: note: previously declared as ‘const union xnn_f16_elu_params *’ 52 | const union xnn_f16_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:57:1: note: in expansion of macro ‘DECLARE_F16_VELU_UKERNEL_FUNCTION’ 57 | DECLARE_F16_VELU_UKERNEL_FUNCTION(xnn_f16_velu_ukernel__avx2_rr1_p3_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f16_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-velu/gen/f16-velu-avx2-rr1-p3-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:52:39: note: previously declared as ‘const union xnn_f16_elu_params *’ 52 | const union xnn_f16_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:58:1: note: in expansion of macro ‘DECLARE_F16_VELU_UKERNEL_FUNCTION’ 58 | DECLARE_F16_VELU_UKERNEL_FUNCTION(xnn_f16_velu_ukernel__avx2_rr1_p3_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/TensorShape.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/UpSampleBilinear2d.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:126:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 126 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x24.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/UpSampleNearest2d.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:125:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 125 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/UpSampleNearest3d.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x32.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x40.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:127:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 127 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/XnnpackUtils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:128:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 128 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x40.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x40.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:129:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 129 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/fbgemm_utils.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:130:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 130 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x56.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x64.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x56.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x56.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:131:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 131 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/fused_obs_fake_quant.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:132:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 132 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/init_qnnpack.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x8.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:134:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 134 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qclamp.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:135:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 135 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x32.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x40.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x24.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:136:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 136 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv_dynamic.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:139:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 139 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x56.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv_prepack.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:137:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 137 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x40.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x40.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:138:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 138 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/quantized/cpu/Sorting.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qconv_unpack_impl.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qdropout.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x56.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x56.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:140:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 140 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f16_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-vsigmoid/gen/f16-vsigmoid-avx2-rr1-p2-rcp-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:123:43: note: previously declared as ‘const union xnn_f16_sigmoid_params *’ 123 | const union xnn_f16_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:141:1: note: in expansion of macro ‘DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION’ 141 | DECLARE_F16_VSIGMOID_UKERNEL_FUNCTION(xnn_f16_vsigmoid_ukernel__avx2_rr1_p2_rcp_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qelu.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qembeddingbag.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:190:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 190 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x32.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qembeddingbag_prepack.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x48.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x64.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:191:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 191 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qembeddingbag_unpack.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:193:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 193 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qgelu.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx2-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:192:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 192 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qhardsigmoid.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:258:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 258 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qhardswish.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:259:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 259 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qlinear.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:260:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 260 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x64.c.o Compiling reduce_scatter.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x64-acc2.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qlinear_dynamic.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:261:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 261 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qlinear_prepack.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x64-acc4.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x64.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x72-acc3.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qmatmul.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qmul.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x72.c.o [ 69%] Building C object 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[ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x96-acc3.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x96-acc6.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx2-p5-x96.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x64-acc2.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qtanh.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x64-acc4.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/qthreshold.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/library.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/qconv_unpack.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/qlinear_unpack.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x64.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkl/LinearAlgebra.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x72-acc3.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x72.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x80-acc2.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkl/SparseBlasImpl.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x80-acc5.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkl/SparseCsrLinearAlgebra.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x80.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x96-acc2.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x96-acc3.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkl/SpectralOps.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/BinaryOps.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Conv.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/ConvPrepack.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x96-acc6.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx2-p5-x96.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc2.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc4.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Copy.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:147:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 147 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x64_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Gelu.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc4.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64-acc4.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:148:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 148 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x64_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/IDeepRegistration.cpp.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72-acc3.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x64.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:146:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 146 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Linear.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72-acc3.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:150:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 150 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x72_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc2.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc5.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x72.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:149:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 149 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc2.c.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/MKLDNNCommon.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:152:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 152 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x80_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc5.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80-acc5.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:153:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 153 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x80_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/MKLDNNConversions.cpp.o [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Matmul.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x80.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:151:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 151 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc2.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:155:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 155 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc3.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc6.c.o [ 69%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc3.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc3.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:156:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 156 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/MkldnnTensorMath.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc6.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96-acc6.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:157:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 157 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96_acc6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96.c:23:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx2-rr1-p5-x96.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:154:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 154 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx2_rr1_p5_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 69%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Normalization.cpp.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x8.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:346:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 346 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x24.c.o [ 70%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/OpContext.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:347:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 347 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Pooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:348:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 348 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x32.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x40.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:349:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 349 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Prelu.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:351:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 351 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x56.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:350:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 350 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/RNN.cpp.o [ 70%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/RegisterMkldnnOpContextClass.cpp.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x64.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x56.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:352:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 352 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x80.c.o [ 70%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Relu.cpp.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x64.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:353:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 353 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x16.c.o [ 70%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/SoftMax.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x72.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:354:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 354 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x24.c.o [ 70%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x80.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut4-p4-perm-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:355:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 355 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut4_p4_perm_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 70%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/TensorFactories.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:357:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 357 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/TensorShape.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/UnaryOps.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:360:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 360 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/mkldnn/Utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:358:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 358 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:359:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 359 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/transformers/attention.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x40.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:361:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 361 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x56.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:362:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 362 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x72.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/transformers/transformer.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x56.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:363:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 363 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/utils/Factory.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x64.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:364:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 364 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x72.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:365:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 365 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x80.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut8-p4-perm-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:366:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 366 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut8_p4_perm_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Activation.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/AveragePooling.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x8.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x8.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:368:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 368 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x24.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/ChannelShuffle.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:369:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 369 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Convolution.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x24.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:370:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 370 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x32.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x40.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:371:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 371 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x56.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Init.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x48.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:373:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 373 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Linear.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x40.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:372:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 372 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x64.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:375:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 375 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/MaxPooling.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x56.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:374:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 374 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/OpContext.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/RegisterOpContextClass.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x72.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:376:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 376 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x80.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x80.c:24:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-lut16-p3-gather-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:377:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 377 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_lut16_p3_gather_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x16.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/xnnpack/Shim.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x24.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x8.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:379:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 379 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/CompositeViewCopyKernels.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x16.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:380:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 380 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Functions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x24.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:381:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 381 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_0.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x32.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:382:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 382 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x40.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x48.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x56.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/ivalue.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/List_inl.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/List.h:494, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/mkldnn/Utils.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/mkldnn/Utils.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x40.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:383:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 383 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x48.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:384:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 384 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_1.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x56.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:385:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 385 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_2.cpp.o Compiling reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x64.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x64.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:386:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 386 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x72.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:387:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 387 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x8.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x16.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_3.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/Operators_4.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x24.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterBackendSelect.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x80.c:22:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx2-rr1-p6-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:388:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 388 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx2_rr1_p6_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCPU.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeExplicitAutograd.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x32.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeExplicitAutogradNonFunctional.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x40.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x48.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x56.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x64.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeImplicitAutograd.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterCompositeImplicitAutogradNestedTensor.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_0.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x72.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_1.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_2.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x80.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterFunctionalization_3.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x88.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx2-p5-x96.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterMeta.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x8.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterMkldnnCPU.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x16.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterNestedTensorCPU.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterNestedTensorMeta.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x24.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x32.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterQuantizedCPU.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterQuantizedMeta.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x40.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x48.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x56.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x64.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x72.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSchema.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSparseCPU.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSparseCsrCPU.cpp.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterSparseMeta.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x80.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x88.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx2-p5-x96.c.o [ 71%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/RegisterZeroTensor.cpp.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x8.c.o [ 71%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:956:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 956 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:955:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 955 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x24.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x32.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x40.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:957:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 957 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:958:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 958 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/RegisterBackendSelect.cpp:7: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x56.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/UfuncCPU_add.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:959:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 959 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/ATenOpList.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:960:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 960 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/core/TensorMethods.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:961:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 961 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x64.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/Functions.h:59, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/Functions.cpp:3: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:962:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 962 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/quantized/QTensorImpl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:963:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 963 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x80.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-div-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:964:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 964 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/quantized/Quantizer.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:966:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 966 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x16.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_bind.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:967:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 967 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_model_loader.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:968:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 968 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x32.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x40.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x48.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x56.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x64.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:969:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 969 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:970:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 970 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:972:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 972 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_register.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:971:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 971 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/nnapi/nnapi_wrapper.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x80.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/UfuncCPUKernel_add.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:974:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 974 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:973:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 973 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/kernels/QuantizedOpKernels.cpp.DEFAULT.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x8.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/spherical_bessel_j0.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr1fma-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:975:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 975 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k1.cpp.DEFAULT.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x8.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:977:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 977 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k0.cpp.DEFAULT.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x24.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x16.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:978:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 978 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x40.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/layer_norm_kernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x24.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:979:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 979 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/group_norm_kernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x32.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:980:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 980 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x48.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/batch_norm_kernel.cpp.DEFAULT.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x56.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x40.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x40.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:981:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 981 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x40) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/airy_ai.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x48.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x48.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:982:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 982 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x56.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x56.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:983:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 983 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x56) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/WeightNormKernel.cpp.DEFAULT.cpp.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleMoreKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x64.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:984:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 984 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x72.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x72.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x72.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:985:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 985 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x72) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x80.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f64.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx2-rr2-lut8-p3-perm.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx2-rr2-lut8-p4-perm.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x80.c:22:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 22 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx2-rr1-p5-nr2fma-x80.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:986:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 986 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx2_rr1_p5_nr2fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx2-rr2-p5.c.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleKernel.cpp.DEFAULT.cpp.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnfoldBackwardKernel.cpp.DEFAULT.cpp.o [ 72%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Unfold2d.cpp.DEFAULT.cpp.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f16-avx2-rr1-p3.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx2-rr1-lut4-p4-perm.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx2-rr1-lut8-p4-perm.c.o [ 72%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx2-rr1-lut16-p3-gather.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.DEFAULT.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/expm1minus-f32-avx2-rr1-p6.c.o [ 73%] Building CXX object 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caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SparseFactories.cpp.DEFAULT.cpp.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SortingKernel.cpp.DEFAULT.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/extexp-avx2-p5.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f16-avx2-rr1-p2-div.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.DEFAULT.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f16-avx2-rr1-p2-rcp.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f16-avx2-rr1-p3-div.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f16-avx2-rr1-p3-rcp.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_f16.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-lut64-p2-gather-div.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ScatterGatherKernel.cpp.DEFAULT.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/quantized/Quantizer.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-lut64-p2-gather-nr1fma.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SampledAddmmKernel.cpp.DEFAULT.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-lut64-p2-gather-nr2fma1adj.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RenormKernel.cpp.DEFAULT.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-lut64-p2-gather-nr2fma.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.DEFAULT.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-p5-div.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-p5-nr1fma.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr1-p5-nr2fma.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-lut64-p2-gather-div.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceAllOpsKernel.cpp.DEFAULT.cpp.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RangeFactoriesKernel.cpp.DEFAULT.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-lut64-p2-gather-nr1fma.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-lut64-p2-gather-nr2fma1adj.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PowKernel.cpp.DEFAULT.cpp.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PointwiseOpsKernel.cpp.DEFAULT.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-lut64-p2-gather-nr2fma.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-p5-div.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PixelShuffleKernel.cpp.DEFAULT.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-p5-nr1fma.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx2-rr2-p5-nr2fma.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MultinomialKernel.cpp.DEFAULT.cpp.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxUnpoolKernel.cpp.DEFAULT.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx2-mul32.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:948:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 948 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u64.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPooling.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1004:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1004 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPoolKernel.cpp.DEFAULT.cpp.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:989:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 989 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LinearAlgebraKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:983:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 983 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c.o [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:986:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 986 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1005:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1005 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LerpKernel.cpp.DEFAULT.cpp.o [ 73%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/IndexKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1006:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1006 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:990:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 990 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:984:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 984 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/HistogramKernel.cpp.DEFAULT.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:987:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 987 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1007:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1007 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u32.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1081:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1081 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1066:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1066 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1060:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1060 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1063:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1063 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FunctionOfAMatrixUtilsKernel.cpp.DEFAULT.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FillKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1082:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1082 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistributionKernels.cpp.DEFAULT.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx2-mul32.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1083:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1083 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1067:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1067 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DepthwiseConvKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1061:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1061 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CrossKernel.cpp.DEFAULT.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1064:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1064 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul32.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x8c8-minmax-fp32-avx2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CopyKernel.cpp.DEFAULT.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x8c8-xw-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1084:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1084 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1895:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1895 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ComplexKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1899:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1899 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_xw_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ChannelShuffleKernel.cpp.DEFAULT.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x8c8-minmax-fp32-avx2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CatKernel.cpp.DEFAULT.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x8c8-xw-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1896:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1896 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BlasKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1900:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1900 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_xw_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x8c8-minmax-fp32-avx2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.DEFAULT.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x8c8-xw-minmax-fp32-avx2.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i32.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x8c8-minmax-fp32-avx2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1897:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1897 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AvgPoolKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1564:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1564 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveMaxPoolKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1901:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1901 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_xw_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x8c8-minmax-fp32-avx2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveAvgPoolKernel.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1565:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1565 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Activation.cpp.DEFAULT.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1566:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1566 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/vulkan/Context.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:740:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 740 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:725:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 725 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:719:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 719 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/metal/Context.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:722:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 722 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx2-mul32.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:741:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 741 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:742:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 742 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/core/common.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:726:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 726 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c.o [ 74%] Building C object caffe2/CMakeFiles/torch_cpu.dir/__/third_party/miniz-2.1.0/miniz.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/miniz-2.1.0/miniz.c:3157:9: note: ‘#pragma message: Using fopen, ftello, fseeko, stat() etc. path for file I/O - this path may not support large files.’ 3157 | #pragma message("Using fopen, ftello, fseeko, stat() etc. path for file I/O - this path may not support large files.") | ^~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/inline_container.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:720:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 720 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:723:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 723 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/istream_adapter.cc.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:743:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 743 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/file_adapter.cc.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_u8.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/crc.cc.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:836:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 836 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/serialize/read_adapter_interface.cc.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:821:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 821 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/string_utils.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p24c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:838:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 838 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p24c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:815:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 815 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:837:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 837 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:818:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 818 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-add16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:822:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 822 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_add16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul32.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/threadpool/ThreadPool.cc.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/threadpool/pthreadpool-cpp.cc.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/threadpool/thread_pool_guard.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x8.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/utils/proto_wrap.cc.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpmovsx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:816:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 816 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpmovsx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul16-vpunpck.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:819:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 819 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul16_vpunpck) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:839:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 839 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x24.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:372:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 372 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:371:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 371 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/LlgaTensorImpl.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/graph_fuser.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:373:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 373 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/graph_rewriter.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/graph_helper.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/register_interface.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:374:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 374 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x8c8-xw-minmax-fp32-avx2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/decompose_silu.cpp.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/interface.cpp.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x8c8-minmax-fp32-avx2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x8c8-xw-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1509:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1509 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/kernel.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1513:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1513 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x8c8-minmax-fp32-avx2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x8c8-xw-minmax-fp32-avx2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x8c8-minmax-fp32-avx2.c.o [ 74%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x8c8-minmax-fp32-avx2.c.o [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/defer_size_check.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1510:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1510 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1514:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1514 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 74%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/layout_propagation.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/prepare_binary.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-xw-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-xw-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1515:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1515 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_xw_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/onednn/guard_shape.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1511:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1511 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1195:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1195 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1196:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1196 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/Functions.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_0.cpp.o [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_1.cpp.o [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1197:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1197 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_2.cpp.o [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:153:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 153 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_3.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:154:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 154 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x24.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_min_i8.o [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:155:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 155 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/VariableType_4.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx2-mul32-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:156:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 156 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx2_mul32_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:208:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 208 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x16.c.o [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x24.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:209:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 209 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_0.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x24.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x24.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:210:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 210 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x32.c.o [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx2-mul32-ld64-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:211:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 211 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx2_mul32_ld64_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_1.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:324:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 324 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:325:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 325 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 75%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vcvt/gen/qs8-vcvt-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x64.c:23:36: warning: argument 4 of type ‘const union xnn_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vcvt/gen/qs8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:304:39: note: previously declared as ‘const union xnn_qs8_cvt_params *’ 304 | const union xnn_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:326:1: note: in expansion of macro ‘DECLARE_QS8_VCVT_UKERNEL_FUNCTION’ 326 | DECLARE_QS8_VCVT_UKERNEL_FUNCTION(xnn_qs8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:44:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 44 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:45:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 45 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x64.c:23:38: warning: argument 4 of type ‘const union xnn_qs8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:24:41: note: previously declared as ‘const union xnn_qs8_lrelu_params *’ 24 | const union xnn_qs8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:46:1: note: in expansion of macro ‘DECLARE_QS8_VLRELU_UKERNEL_FUNCTION’ 46 | DECLARE_QS8_VLRELU_UKERNEL_FUNCTION(xnn_qs8_vlrelu_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:563:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 563 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f64.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_2.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_3.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:564:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 564 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/TraceType_4.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:565:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 565 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/ADInplaceOrViewType_0.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p8c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:623:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 623 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p8c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx2-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:625:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 625 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p32c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx2-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:624:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx2_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x8.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x16.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/generated/ADInplaceOrViewType_1.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/generated/LazyNativeFunctions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x8.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x8.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:464:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 464 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/generated/RegisterAutogradLazy.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:465:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 465 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x24.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x32.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:467:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 467 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x24.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx2-x24.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:466:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 466 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx2_x24) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/generated/RegisterLazy.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/anomaly_mode.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:864:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 864 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x8c8-minmax-fp32-avx2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:865:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 865 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/autograd.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/RegisterSchema.cpp:3: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/RegisterSchema.cpp: In function ‘void at::TORCH_LIBRARY_init_aten(torch::Library&)’: /builddir/build/BUILD/pytorch-v2.0.1/torch/library.h:891:8: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 891 | void TORCH_LIBRARY_init_##ns(torch::Library& m) | ^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/RegisterSchema.cpp:6:1: note: in expansion of macro ‘TORCH_LIBRARY’ 6 | TORCH_LIBRARY(aten, m) { | ^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx2.c:30:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:866:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 866 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f32.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:617:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 617 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:618:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 618 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/autograd_meta.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x8.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/autograd_not_implemented_fallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c:32:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x8c8-minmax-fp32-avx2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:619:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 619 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x8c8__avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/cpp_hook.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:54:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 54 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp: In function ‘torch::jit::Operation torch::jit::createLlgaKernel(const Node*)’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp:102:10: warning: ‘torch::jit::Operation::Operation(F&&) [with F = torch::jit::createLlgaKernel(const Node*)::; typename std::enable_if*)>, F&&>::value, int>::type = 0]’ is deprecated: Please use void(Stack&) to register operator instead. [-Wdeprecated-declarations] 102 | return [kernel](Stack* stack) { | ^~~~~~~~~~~~~~~~~~~~~~~~ 103 | RECORD_FUNCTION(kernel->debugName(), std::vector()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 104 | kernel->run(*stack); | ~~~~~~~~~~~~~~~~~~~~ 105 | return 0; | ~~~~~~~~~ 106 | }; | ~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/boxing/KernelFunction.h:5, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/dispatch/Dispatcher.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/runtime/operator.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/ir/ir.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/decompose_silu.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/stack.h:25:3: note: declared here 25 | Operation(F&& raw): op_([raw = std::forward(raw)](Stack& stack) { | ^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp: In function ‘torch::jit::Operation torch::jit::createLlgaGuardKernel(const Node*)’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/codegen/onednn/interface.cpp:121:10: warning: ‘torch::jit::Operation::Operation(F&&) [with F = torch::jit::createLlgaGuardKernel(const Node*)::; typename std::enable_if*)>, F&&>::value, int>::type = 0]’ is deprecated: Please use void(Stack&) to register operator instead. [-Wdeprecated-declarations] 121 | return [node](Stack* stack) { | ^~~~~~~~~~~~~~~~~~~~~~ 122 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 123 | GRAPH_DEBUG("Guarding node: ", node->kind().toQualString()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | #endif | ~~~~~~ 125 | std::vector types = node->tys(attr::types); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 126 | const auto num_inputs = types.size(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 127 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 128 | GRAPH_DEBUG("num_inputs to guard: ", num_inputs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 129 | #endif | ~~~~~~ 130 | for (size_t i = 0; i < num_inputs; i++) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 131 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | GRAPH_DEBUG("checking input ", i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 133 | #endif | ~~~~~~ 134 | auto& input = peek(stack, i, num_inputs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 135 | const c10::TensorTypePtr& guard_tensor_type = | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 136 | types[i]->cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 137 | | 138 | if (!input.isTensor()) { | ~~~~~~~~~~~~~~~~~~~~~~~~ 139 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 140 | GRAPH_DEBUG("input ", i, " is not a tensor, return false"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 141 | #endif | ~~~~~~ 142 | push(stack, IValue(false)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 143 | return; | ~~~~~~~ 144 | } | ~ 145 | const at::Tensor& tensor = input.toTensor(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 146 | | 147 | // If input tensor is of mkldnn, it's originated from an upstream | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | // LLGA partition that has passed the check on input shapes. | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 149 | // It is valid to continue here as long as the output shapes from | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 150 | // oneDNN graph partitions are determined by the input shapes. | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 151 | if (tensor.is_mkldnn()) { | ~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 153 | GRAPH_DEBUG("input ", i, " is_mkldnn, continue"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 154 | #endif | ~~~~~~ 155 | continue; | ~~~~~~~~~ 156 | } | ~ 157 | | 158 | if (!guard_tensor_type->matchTensor(tensor)) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 159 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | GRAPH_DEBUG("input ", i, " check failed, return false"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | #endif | ~~~~~~ 162 | push(stack, IValue(false)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 163 | return; | ~~~~~~~ 164 | } | ~ 165 | } | ~ 166 | #ifdef GRAPH_DEBUG_ENABLED | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 167 | GRAPH_DEBUG("all check done, return true"); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 168 | #endif | ~~~~~~ 169 | push(stack, IValue(true)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 170 | return; | ~~~~~~~ 171 | }; | ~ /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/stack.h:25:3: note: declared here 25 | Operation(F&& raw): op_([raw = std::forward(raw)](Stack& stack) { | ^~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/custom_function.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:55:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 55 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x8.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x8.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x8.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:92:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 92 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx2_mul32_ld64_x8) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x16.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx2-mul32-ld64-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:93:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 93 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx2_mul32_ld64_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/engine.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x16.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:417:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 417 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x32.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:418:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 418 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vcvt/gen/qu8-vcvt-avx2-x64.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x64.c:23:36: warning: argument 4 of type ‘const union xnn_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vcvt/gen/qu8-vcvt-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:397:39: note: previously declared as ‘const union xnn_qu8_cvt_params *’ 397 | const union xnn_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:419:1: note: in expansion of macro ‘DECLARE_QU8_VCVT_UKERNEL_FUNCTION’ 419 | DECLARE_QU8_VCVT_UKERNEL_FUNCTION(xnn_qu8_vcvt_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/forward_grad.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x16.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:99:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 99 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x32.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:100:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 100 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x64.c:23:38: warning: argument 4 of type ‘const union xnn_qu8_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-avx2-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:79:41: note: previously declared as ‘const union xnn_qu8_lrelu_params *’ 79 | const union xnn_qu8_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vlrelu.h:101:1: note: in expansion of macro ‘DECLARE_QU8_VLRELU_UKERNEL_FUNCTION’ 101 | DECLARE_QU8_VLRELU_UKERNEL_FUNCTION(xnn_qu8_vlrelu_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x32.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x64.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_f16.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x32.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:47:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 47 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/function.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:48:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 48 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x96.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x96.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:49:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 49 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/accumulate_grad.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx2-x128.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/function_hook.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/cpp_hook.h:2, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/variable.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/autograd.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/custom_function.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x128.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx2-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:50:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 50 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx2_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-16x16-reuse-mov-avx2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c:28:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-mov-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:236:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 236 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__32x32_reuse_mov_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c:28:41: warning: argument 7 of type ‘const union xnn_x8_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x8_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-transposec/gen/x8-transposec-32x32-reuse-switch-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:212:44: note: previously declared as ‘const union xnn_x8_transpose_params *’ 212 | const union xnn_x8_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:237:1: note: in expansion of macro ‘DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION’ 237 | DECLARE_X8_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x8_transposec_ukernel__32x32_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-mov-avx2.c:28:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-mov-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:201:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 201 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__16x16_reuse_mov_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/basic_ops.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c:28:42: warning: argument 7 of type ‘const union xnn_x16_transpose_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_x16_transpose_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x16-transposec/gen/x16-transposec-16x16-reuse-switch-avx2.c:18: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:165:45: note: previously declared as ‘const union xnn_x16_transpose_params *’ 165 | const union xnn_x16_transpose_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/transpose.h:202:1: note: in expansion of macro ‘DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION’ 202 | DECLARE_X16_TRANSPOSEC_UKERNEL_FUNCTION(xnn_x16_transposec_ukernel__16x16_reuse_switch_avx2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:97:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 97 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c16s4r__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l16c16s4r-minmax-avx512f.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:96:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 96 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l16c16s4r__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/tensor.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/functions/utils.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f-acc2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f-acc2.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/input_buffer.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:101:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 101 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l64c16s4r__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/jit_decomp_interface.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f-acc2.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f-acc2.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:99:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 99 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c16s4r__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l32c16s4r-minmax-avx512f.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:98:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 98 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l32c16s4r__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_kineto.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_legacy.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/record_function_ops.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f.c:32:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 32 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-2f2m2l64c16s4r-minmax-avx512f.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:76:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 76 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:100:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION’ 100 | DECLARE_F32_DWCONV_MULTIPASS_MINMAX_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_2f2m2l64c16s4r__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:176:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 176 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f-acc2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:175:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 175 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:184:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 184 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/saved_variable.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/utils/warnings.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-3p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:183:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 183 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_3p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i64.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/variable.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f-acc2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:205:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 205 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/api/function_impl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:204:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 204 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:213:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 213 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/api/module.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/api/object.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-4p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:212:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 212 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_4p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f-acc2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:236:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 236 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_debug_handler.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:235:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 235 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:244:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 244 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:265:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 265 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-9p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:243:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 243 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_9p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_debug_info.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p16c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:264:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 264 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p16c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f-acc2.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f-acc2.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f-acc2.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:273:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 273 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p32c__avx512f_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-dwconv/gen/f32-dwconv-25p32c-minmax-avx512f.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:46:40: note: previously declared as ‘const union xnn_f32_minmax_params *’ 46 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:272:1: note: in expansion of macro ‘DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 272 | DECLARE_F32_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_f32_dwconv_minmax_ukernel_25p32c__avx512f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-1x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:277:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 277 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_detail.cpp.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_interface.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx512f-broadcast.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-4x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:278:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 278 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_4x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/backends/backend_resolver.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-5x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:279:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 279 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_5x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-6x16-minmax-avx512f-broadcast.c.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-7x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-6x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:280:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 280 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_6x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/codegen.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-7x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:281:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 281 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u32.o [ 76%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/compiler.cpp.o [ 76%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c:28:39: warning: argument 10 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemm-8x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:148:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 148 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:282:1: note: in expansion of macro ‘DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION’ 282 | DECLARE_F32_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemm_minmax_ukernel_8x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/executor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-1x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:583:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 583 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/fallback.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-4x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:584:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 584 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_4x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-5x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:585:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 585 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_5x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/interface.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-6x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:586:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 586 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_6x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/kernel_cache.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-7x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:587:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 587 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-gemm/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c:29:39: warning: argument 11 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-gemm/gen/f32-gemminc-8x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:477:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 477 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:588:1: note: in expansion of macro ‘DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION’ 588 | DECLARE_F32_GEMMINC_MINMAX_UKERNEL_FUNCTION(xnn_f32_gemminc_minmax_ukernel_8x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/builtin_functions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-1x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:191:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 191 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_1x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/canonicalize_modified_loop.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-4x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:192:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 192 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_4x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/convert_to_ssa.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-5x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:193:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 193 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_5x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_data.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/core/tensor.h:5, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/generated/LazyNativeFunctions.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h: In function ‘c10::optional torch::lazy::GetBackendDevice(const T&, const Args& ...) [with T = c10::optional; Args = {}]’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:89:30: warning: infinite recursion detected [-Winfinite-recursion] 89 | c10::optional GetBackendDevice( | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:92:8: note: recursive call 92 | auto optional_device = GetBackendDevice(tensor); | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h: In function ‘c10::optional torch::lazy::GetBackendDevice(const T&, const Args& ...) [with T = c10::optional; Args = {}]’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:89:30: warning: infinite recursion detected [-Winfinite-recursion] 89 | c10::optional GetBackendDevice( | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:92:8: note: recursive call 92 | auto optional_device = GetBackendDevice(tensor); | ^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-7x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:195:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 195 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_7x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-6x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:194:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 194 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_6x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/edit_distance.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h: In function ‘c10::optional torch::lazy::GetBackendDevice(const T&, const Args& ...) [with T = c10::SymInt; Args = {}]’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:89:30: warning: infinite recursion detected [-Winfinite-recursion] 89 | c10::optional GetBackendDevice( | ^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/lazy/backend/backend_device.h:92:8: note: recursive call 92 | auto optional_device = GetBackendDevice(tensor); | ^~~~~~~~~~~~~~~ [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx512f-2x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c:30:39: warning: argument 12 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 30 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-igemm/gen/f32-igemm-8x16-minmax-avx512f-broadcast.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:65:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 65 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:196:1: note: in expansion of macro ‘DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION’ 196 | DECLARE_F32_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_f32_igemm_minmax_ukernel_8x16__avx512f_broadcast) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/exit_transforms.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-prelu/gen/f32-prelu-avx512f-2x32.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/inline_loop_condition.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x128-acc2.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/ir_emitter.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x128-acc4.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x128.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i32.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/name_mangler.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x144-acc3.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x144.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/parser.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x160-acc2.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x160-acc5.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/schema_matching.cpp.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/script_type_parser.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x160.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/sugared_value.cpp.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192-acc2.c.o [ 77%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192-acc3.c.o [ 77%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/tracer.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/frontend/versioned_symbols.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192-acc6.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddexpminusmax/gen/f32-raddexpminusmax-avx512f-p5-scalef-x192.c.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/alias_analysis.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x128-acc2.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x128-acc4.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x128.c.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/attributes.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/constants.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x144-acc3.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x144.c.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/function_hook.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/cpp_hook.h:2, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/variable.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/variable.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x160-acc2.c.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/graph_utils.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x160-acc5.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_u8.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x160.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192-acc2.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192-acc3.c.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/ir.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192-acc6.c.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/irparser.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/node_hashing.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddextexp/gen/f32-raddextexp-avx512f-p5-scalef-x192.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc2.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc4.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:160:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 160 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x128_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/scope.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/subgraph_matcher.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc4.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128-acc4.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:161:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 161 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x128_acc4) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/ir/type_hashing.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:159:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 159 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144-acc3.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:162:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 162 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x144) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x144-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:163:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 163 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x144_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/jit_log.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/jit_opt_limit.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:165:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 165 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x160_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc5.c.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/compatibility/model_compatibility.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc2.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc5.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160-acc5.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:166:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 166 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x160_acc5) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc3.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc6.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x160.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:164:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 164 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x160) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/compatibility/runtime_compatibility.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192.c.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/flatbuffer_loader.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc2.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc2.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:168:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 168 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192_acc2) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-rmax/f32-rmax-avx512f.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc3.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc3.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:169:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 169 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192_acc3) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc6.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192-acc6.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:170:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 170 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192_acc6) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192.c:24:41: warning: argument 6 of type ‘const union xnn_f32_expminus_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_expminus_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-raddstoreexpminusmax/gen/f32-raddstoreexpminusmax-avx512f-rr1-p5-scalef-x192.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:79:44: note: previously declared as ‘const union xnn_f32_expminus_params *’ 79 | const union xnn_f32_expminus_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/raddstoreexpminusmax.h:167:1: note: in expansion of macro ‘DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION’ 167 | DECLARE_F32_RADDSTOREEXPMINUSMAX_UKERNEL_FUNCTION(xnn_f32_raddstoreexpminusmax_ukernel__avx512f_rr1_p5_scalef_x192) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/function.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/import.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/interpreter.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x16.c.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/module.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_prod_i8.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/aot_compiler.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/backend.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:330:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 330 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/context.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vadd-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:331:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 331 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vadd_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x16.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:532:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 532 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/nnc/registry.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vaddc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:533:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 533 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vaddc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:353:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 353 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x32.c.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/observer.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/ir/attributes.h:2, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/ir/ir.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/ir/node_hashing.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdiv-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:354:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 354 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdiv_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/parse_bytecode.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:555:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 555 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x32.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vdivc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:556:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 556 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmax-avx512f-x32.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx512f-x16.c.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/parse_operators.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:470:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 470 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:188:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 188 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmaxc-avx512f-x32.c.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/prim_ops_registery.cpp.o [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/promoted_prim_ops.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:189:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 189 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/quantization.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-x16.c.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmin-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmaxc-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:471:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 471 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmaxc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/register_ops_common_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:211:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 211 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/type_parser.cpp.o [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmin-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:212:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 212 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vmin_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/upgrader_mobile.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:493:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 493 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 78%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vminc-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vminc-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:494:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 494 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vminc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x16.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:376:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 376 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmul-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:377:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 377 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmul_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/operator_upgraders/upgraders.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_bf16.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/operator_upgraders/upgraders_entry.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x16.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:601:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 601 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/operator_upgraders/utils.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/operator_upgraders/version_map.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vmulc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:602:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 602 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vmulc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/add_if_then_else.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x32.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:578:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 578 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/annotate_warns.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:647:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 647 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/bailout_graph.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrdivc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:579:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 579 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrdivc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/batch_mm.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vrsubc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:648:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 648 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vrsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:234:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 234 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x32.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiff-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:235:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 235 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiff_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x32.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/canonicalize.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x16.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:516:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 516 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/canonicalize_graph_fuser_ops.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x32.c:24:40: warning: argument 5 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsqrdiffc-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:168:43: note: previously declared as ‘const union xnn_f32_default_params *’ 168 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:517:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_UKERNEL_FUNCTION’ 517 | DECLARE_F32_VBINOP_UKERNEL_FUNCTION(xnn_f32_vsqrdiffc_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/check_strict_fusion.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:399:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 399 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x16.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/clear_profiling.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x32.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx512f-x16.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vclamp/gen/f32-vclamp-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsub-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:400:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 400 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsub_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x16.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:624:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 624 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/clear_undefinedness.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/common_subexpression_elimination.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x32.c:24:39: warning: argument 5 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vbinary/gen/f32-vsubc-minmax-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:176:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 176 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vbinary.h:625:1: note: in expansion of macro ‘DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION’ 625 | DECLARE_F32_VBINOP_MINMAX_UKERNEL_FUNCTION(xnn_f32_vsubc_minmax_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/concat_opt.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:244:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 244 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/constant_pooling.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x32.c:23:39: warning: argument 4 of type ‘const union xnn_f32_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vclamp/gen/f32-vclamp-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:240:42: note: previously declared as ‘const union xnn_f32_minmax_params *’ 240 | const union xnn_f32_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:245:1: note: in expansion of macro ‘DECLARE_F32_VCLAMP_UKERNEL_FUNCTION’ 245 | DECLARE_F32_VCLAMP_UKERNEL_FUNCTION(xnn_f32_vclamp_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/constant_propagation.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:390:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 390 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x32.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x48.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x64.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:391:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 391 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/create_autodiff_subgraphs.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x48.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:392:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 392 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/create_functional_graphs.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x64.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x80.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:393:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 393 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:394:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 394 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x112.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/cuda_graph_fuser.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/dbr_quantization/remove_redundant_aliases.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f64.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/dead_code_elimination.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x96.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:395:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 395 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/decompose_ops.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x112.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:396:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 396 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x128.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x128.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-lut16-p3-perm-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:397:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 397 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_lut16_p3_perm_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:399:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 399 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/device_type_analysis.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:400:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 400 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x48.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x64.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x80.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x64.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:402:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 402 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x80.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:403:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 403 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x48.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/dtype_analysis.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:401:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 401 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/eliminate_no_ops.cpp.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/erase_number_types.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x96.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:404:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 404 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x112.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x128.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/fixup_trace_scope_blocks.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x128.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:406:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 406 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/fold_conv_bn.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x112.c:23:36: warning: argument 4 of type ‘const union xnn_f32_elu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_elu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-velu/gen/f32-velu-avx512f-rr1-p6-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:267:39: note: previously declared as ‘const union xnn_f32_elu_params *’ 267 | const union xnn_f32_elu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:405:1: note: in expansion of macro ‘DECLARE_F32_VELU_UKERNEL_FUNCTION’ 405 | DECLARE_F32_VELU_UKERNEL_FUNCTION(xnn_f32_velu_ukernel__avx512f_rr1_p6_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-x16.c.o [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/fold_linear_bn.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vhswish/gen/f32-vhswish-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x16.c:23:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:513:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 513 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/freeze_module.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x16.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x32.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x32.c:23:39: warning: argument 4 of type ‘const union xnn_f32_hswish_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_hswish_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vhswish/gen/f32-vhswish-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:498:42: note: previously declared as ‘const union xnn_f32_hswish_params *’ 498 | const union xnn_f32_hswish_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:514:1: note: in expansion of macro ‘DECLARE_F32_VHSWISH_UKERNEL_FUNCTION’ 514 | DECLARE_F32_VHSWISH_UKERNEL_FUNCTION(xnn_f32_vhswish_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_concat_linear.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x16.c:23:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:566:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 566 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_conv_add_relu_fusion.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x32.c:23:38: warning: argument 4 of type ‘const union xnn_f32_lrelu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_lrelu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vlrelu/gen/f32-vlrelu-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:548:41: note: previously declared as ‘const union xnn_f32_lrelu_params *’ 548 | const union xnn_f32_lrelu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:567:1: note: in expansion of macro ‘DECLARE_F32_VLRELU_UKERNEL_FUNCTION’ 567 | DECLARE_F32_VLRELU_UKERNEL_FUNCTION(xnn_f32_vlrelu_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x16.c:23:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x16.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:627:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 627 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_conv_folding.cpp.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrelu/gen/f32-vrelu-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x32.c:23:37: warning: argument 4 of type ‘const union xnn_f32_relu_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_relu_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrelu/gen/f32-vrelu-avx512f-x32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:623:40: note: previously declared as ‘const union xnn_f32_relu_params *’ 623 | const union xnn_f32_relu_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:628:1: note: in expansion of macro ‘DECLARE_F32_VRELU_UKERNEL_FUNCTION’ 628 | DECLARE_F32_VRELU_UKERNEL_FUNCTION(xnn_f32_vrelu_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-x16.c.o [ 79%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndd-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:712:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 712 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_graph_optimizations.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndd-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:713:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 713 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndd_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_linear_folding.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_f16.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_linear_transpose.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:658:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 658 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndne-avx512f-x32.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndne-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:659:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 659 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndne_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/frozen_ops_to_mkldnn.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:694:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 694 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndu-avx512f-x32.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x16.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x16.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:676:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 676 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/fuse_linear.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndu-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:695:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 695 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndu_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vrnd/gen/f32-vrndz-avx512f-x32.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/fuse_relu.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x16.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x32.c:24:36: warning: argument 4 of type ‘const union xnn_f32_rnd_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 24 | const union xnn_f32_rnd_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vrnd/gen/f32-vrndz-avx512f-x32.c:17: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:654:39: note: previously declared as ‘const union xnn_f32_rnd_params *’ 654 | const union xnn_f32_rnd_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:677:1: note: in expansion of macro ‘DECLARE_F32_VRND_UKERNEL_FUNCTION’ 677 | DECLARE_F32_VRND_UKERNEL_FUNCTION(xnn_f32_vrndz_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/graph_fuser.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x48.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/graph_rewrite_helper.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/guard_elimination.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x64.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/hoist_conv_packed_params.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x80.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/inline_autodiff_subgraphs.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x96.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x112.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/inline_fork_wait.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/inline_forked_closures.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x128.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/inliner.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x144.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/inplace_check.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x160.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/insert_guards.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/integer_value_refinement.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x176.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/lift_closures.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleexpminusmax/gen/f32-vscaleexpminusmax-avx512f-p5-scalef-x192.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x16.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/liveness.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/loop_unrolling.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x32.c.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x48.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/lower_grad_of.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x64.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u64.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x80.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/lower_tuples.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x96.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/metal_rewrite.cpp.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/mkldnn_rewrite.cpp.o [ 80%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x112.c.o [ 80%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/normalize_ops.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x128.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x144.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x160.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/pass_manager.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/peephole.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/peephole_alias_sensitive.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x176.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vscaleextexp/gen/f32-vscaleextexp-avx512f-p5-scalef-x192.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1006:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1006 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/peephole_dict_idioms.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/peephole_list_idioms.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x32.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1007:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1007 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/peephole_non_tensor.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1008:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1008 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x80.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1009:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1009 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/prepack_folding.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1011:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1011 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1010:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1010 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x112.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/dedup_module_uses.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/finalize.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x128.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x16.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1012:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1012 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x48.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-div-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1013:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1013 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_div_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/fusion_passes.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1015:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1015 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1016:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1016 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/helper.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/insert_observers.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/insert_quant_dequant.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1017:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1017 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1018:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1018 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/quantization_type.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x80.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x96.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x112.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1019:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1019 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/quantization/register_packed_params.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1020:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1020 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1021:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1021 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/refine_tuple_types.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x48.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_dropout.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i64.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_exceptions.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-lut16-p3-perm-scalef-nr1fma-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1022:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1022 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_lut16_p3_perm_scalef_nr1fma_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:988:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 988 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_expands.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_mutation.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:989:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 989 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:990:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 990 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_redundant_profiles.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:991:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 991 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x96.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/replacement_of_old_operators.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x112.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:992:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 992 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x128.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/requires_grad_analysis.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x16.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:994:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 994 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:993:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 993 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/restore_mutation.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/shape_analysis.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-div-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:995:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 995 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_div_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:997:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 997 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/specialize_autogradzero.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/subgraph_rewrite.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:998:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 998 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/symbolic_shape_analysis.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:999:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 999 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1000:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1000 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x80.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1001:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1001 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1002:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1002 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x112.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/symbolic_shape_cache.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/symbolic_shape_runtime_fusion.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1003:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1003 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x16.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/tensorexpr_fuser.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x32.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x48.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr1-p5-scalef-nr1fma-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1004:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1004 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr1_p5_scalef_nr1fma_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/update_differentiable_graph_requires_grad.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1024:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1024 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1027:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1027 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/utils/memory_dag.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1025:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1025 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/utils/op_registry.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1026:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1026 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/utils/optimization_utils.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x80.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1028:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1028 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x112.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/utils/subgraph_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1029:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1029 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/value_refinement_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1030:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1030 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x128.c.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/variadic_ops.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/passes/frozen_ops_to_mkldnn.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x16.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x32.c.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-div-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1031:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1031 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_div_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1033:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1033 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/vulkan_rewrite.cpp.o [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/xnnpack_rewrite.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1034:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1034 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x48.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1035:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1035 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 81%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/python/update_graph_executor_opt.cpp.o [ 81%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x64.c.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/argument_spec.cpp.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_u32.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/autodiff.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1036:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1036 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x80.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x96.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x80.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1037:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1037 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/decomposition_registry.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1038:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1038 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x112.c.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/decomposition_registry_util.cpp.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x128.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x16.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x112.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1039:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1039 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_sigmoid_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sigmoid_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsigmoid/gen/f32-vsigmoid-avx512f-rr2-lut32-p2-perm2-scalef-nr1fma-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:798:43: note: previously declared as ‘const union xnn_f32_sigmoid_params *’ 798 | const union xnn_f32_sigmoid_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1040:1: note: in expansion of macro ‘DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION’ 1040 | DECLARE_F32_VSIGMOID_UKERNEL_FUNCTION(xnn_f32_vsigmoid_ukernel__avx512f_rr2_lut32_p2_perm2_scalef_nr1fma_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x48.c.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/graph_executor.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/instruction.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x32.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:777:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 777 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x16.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:776:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 776 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x80.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x48.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:778:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 778 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x96.c.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/interpreter.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x80.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x80.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:780:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 780 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x80) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/interpreter/frame.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x64.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:779:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 779 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x112.c.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/interpreter/preprocess_graph.cpp.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x96.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:781:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 781 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx512f-x16.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vabs-avx512f-x32.c.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/jit_exception.cpp.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx512f-x16.c.o [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vneg-avx512f-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x112.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x112.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:782:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 782 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x112) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x128.c:23:37: warning: argument 4 of type ‘const union xnn_f32_sqrt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_sqrt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vsqrt/gen/f32-vsqrt-avx512f-nr1fma1adj-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:734:40: note: previously declared as ‘const union xnn_f32_sqrt_params *’ 734 | const union xnn_f32_sqrt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:783:1: note: in expansion of macro ‘DECLARE_F32_VSQRT_UKERNEL_FUNCTION’ 783 | DECLARE_F32_VSQRT_UKERNEL_FUNCTION(xnn_f32_vsqrt_ukernel__avx512f_nr1fma1adj_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/jit_trace.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/logging.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:224:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 224 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_abs_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_abs_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vabs-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:213:39: note: previously declared as ‘const union xnn_f32_abs_params *’ 213 | const union xnn_f32_abs_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:225:1: note: in expansion of macro ‘DECLARE_F32_VABS_UKERNEL_FUNCTION’ 225 | DECLARE_F32_VABS_UKERNEL_FUNCTION(xnn_f32_vabs_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/operator.cpp.o [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/print_handler.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x16.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:607:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 607 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/profiling_graph_executor_impl.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x32.c:23:36: warning: argument 4 of type ‘const union xnn_f32_neg_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_neg_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vneg-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:595:39: note: previously declared as ‘const union xnn_f32_neg_params *’ 595 | const union xnn_f32_neg_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:608:1: note: in expansion of macro ‘DECLARE_F32_VNEG_UKERNEL_FUNCTION’ 608 | DECLARE_F32_VNEG_UKERNEL_FUNCTION(xnn_f32_vneg_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 82%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx512f-x16.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-vunary/gen/f32-vsqr-avx512f-x32.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-lut16-p3-perm-scalef.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1113:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1113 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx512f_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/profiling_record.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-lut16-p3-perm.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-lut32-p2-perm2-scalef.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-lut32-p2-perm2.c.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/register_ops_utils.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_default_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_default_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-vunary/gen/f32-vsqr-avx512f-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1102:43: note: previously declared as ‘const union xnn_f32_default_params *’ 1102 | const union xnn_f32_default_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vunary.h:1114:1: note: in expansion of macro ‘DECLARE_F32_VSQR_UKERNEL_FUNCTION’ 1114 | DECLARE_F32_VSQR_UKERNEL_FUNCTION(xnn_f32_vsqr_ukernel__avx512f_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/script_profile.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/serialized_shape_function_registry.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/exp-f32-avx512f-rr2-p5-scalef.c.o [ 83%] Building CXX object 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Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/pickler.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx512f-rr2-p5-scalef-div.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx512f-rr2-p5-scalef-nr1fma1adj.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sigmoid-f32-avx512f-rr2-p5-scalef-nr1fma.c.o Compiling sendrecv.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/sendrecv_sum_i8.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/python_print.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-avx512f-nr1fma1adj.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-avx512f-nr1fma.c.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/source_range_serialization.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/math/sqrt-f32-avx512f-nr2fma.c.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/type_name_uniquer.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/unpickler.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x16.c.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/block_codegen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:72:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 72 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x32.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f16_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f16_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f16-f32-vcvt/gen/f16-f32-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:24:43: note: previously declared as ‘const union xnn_f16_f32_cvt_params *’ 24 | const union xnn_f16_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:73:1: note: in expansion of macro ‘DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION’ 73 | DECLARE_F16_F32_VCVT_UKERNEL_FUNCTION(xnn_f16_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/bounds_inference.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:134:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 134 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/bounds_overlap.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_f16_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_f16_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-f16-vcvt/gen/f32-f16-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:106:43: note: previously declared as ‘const union xnn_f32_f16_cvt_params *’ 106 | const union xnn_f32_f16_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:135:1: note: in expansion of macro ‘DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION’ 135 | DECLARE_F32_F16_VCVT_UKERNEL_FUNCTION(xnn_f32_f16_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/codegen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:195:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 195 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x64.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x96.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:196:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 196 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/cpp_codegen.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:197:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 197 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/eval.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qs8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qs8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qs8-vcvt/gen/f32-qs8-vcvt-avx512skx-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:163:43: note: previously declared as ‘const union xnn_f32_qs8_cvt_params *’ 163 | const union xnn_f32_qs8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:198:1: note: in expansion of macro ‘DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION’ 198 | DECLARE_F32_QS8_VCVT_UKERNEL_FUNCTION(xnn_f32_qs8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x32.c.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/expr.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:263:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 263 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x64.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:264:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 264 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x96.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x128.c.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/external_functions.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x128.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x128.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:266:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 266 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x96.c:23:40: warning: argument 4 of type ‘const union xnn_f32_qu8_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_f32_qu8_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/f32-qu8-vcvt/gen/f32-qu8-vcvt-avx512skx-x96.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:236:43: note: previously declared as ‘const union xnn_f32_qu8_cvt_params *’ 236 | const union xnn_f32_qu8_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:265:1: note: in expansion of macro ‘DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION’ 265 | DECLARE_F32_QU8_VCVT_UKERNEL_FUNCTION(xnn_f32_qu8_vcvt_ukernel__avx512skx_x96) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/external_functions_codegen.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-3p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:950:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 950 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_3p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1009:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1009 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1010:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1010 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1086:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1086 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-dwconv/gen/qc8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:880:45: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 880 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:1087:1: note: in expansion of macro ‘DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 1087 | DECLARE_QC8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qc8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/external_functions_core.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-1x16c8-minmax-fp32-avx512skx.c.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/external_functions_registry.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1903:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1903 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-2x16c8-minmax-fp32-avx512skx.c.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/graph_opt.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-3x16c8-minmax-fp32-avx512skx.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-gemm/gen/qc8-gemm-4x16c8-minmax-fp32-avx512skx.c.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-1x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1904:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1904 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1905:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1905 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/hash_provider.cpp.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/intrinsic_symbols.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-gemm/gen/qc8-gemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1624:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1624 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1906:1: note: in expansion of macro ‘DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1906 | DECLARE_QC8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-3x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1568:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1568 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_cloner.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1569:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1569 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_mutator.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qc8-igemm/gen/qc8-igemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1570:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1570 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_printer.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qc8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qc8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qc8-igemm/gen/qc8-igemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1298:47: note: previously declared as ‘const union xnn_qc8_conv_minmax_params *’ 1298 | const union xnn_qc8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1571:1: note: in expansion of macro ‘DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1571 | DECLARE_QC8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qc8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:745:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 745 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_simplifier.cpp.o [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_verifier.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:746:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 746 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:841:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 841 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o [ 83%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/ir_visitor.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-dwconv/gen/qs8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:662:45: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 662 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:842:1: note: in expansion of macro ‘DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 842 | DECLARE_QS8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qs8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 83%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x16.c.o [ 84%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x32.c.o [ 84%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:377:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 377 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:376:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 376 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/llvm_codegen.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/kernel.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x64.c.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/llvm_jit.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-1x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x48.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:378:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 378 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-2x16c8-minmax-fp32-avx512skx.c.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/loopnest.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-3x16c8-minmax-fp32-avx512skx.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-gemm/gen/qs8-gemm-4x16c8-minmax-fp32-avx512skx.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-1x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_qs8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-f32-vcvt/gen/qs8-f32-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:349:43: note: previously declared as ‘const union xnn_qs8_f32_cvt_params *’ 349 | const union xnn_qs8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:379:1: note: in expansion of macro ‘DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION’ 379 | DECLARE_QS8_F32_VCVT_UKERNEL_FUNCTION(xnn_qs8_f32_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/function_hook.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/cpp_hook.h:2, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/variable.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/api/module.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/serialization/python_print.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/serialization/python_print.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/loopnest_randomization.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1517:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1517 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1518:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1518 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/lowerings.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1520:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1520 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-gemm/gen/qs8-gemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:965:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 965 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:1519:1: note: in expansion of macro ‘DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION’ 1519 | DECLARE_QS8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_gemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/mem_dependency_checker.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1199:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1199 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/conv2d.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/matmul.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/misc.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1200:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1200 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-3x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1201:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1201 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-igemm/gen/qs8-igemm-4x16c8-minmax-fp32-avx512skx.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x16.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x32.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x16.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qs8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qs8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-igemm/gen/qs8-igemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:720:47: note: previously declared as ‘const union xnn_qs8_conv_minmax_params *’ 720 | const union xnn_qs8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:1202:1: note: in expansion of macro ‘DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 1202 | DECLARE_QS8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qs8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:158:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 158 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vadd/gen/qs8-vadd-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:159:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 159 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/norm.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/pointwise.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/quantization.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:213:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 213 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qs8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qs8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qs8-vaddc/gen/qs8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:113:46: note: previously declared as ‘const union xnn_qs8_add_minmax_params *’ 113 | const union xnn_qs8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:214:1: note: in expansion of macro ‘DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION’ 214 | DECLARE_QS8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qs8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/reduction.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:567:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 567 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-9p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:568:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 568 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_9p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p16c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:627:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 627 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p16c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/operators/softmax.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:28:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 28 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_DISABLE_MSAN | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-dwconv/gen/qu8-dwconv-25p32c-minmax-fp32-avx512skx-mul32.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:514:45: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 514 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/dwconv.h:628:1: note: in expansion of macro ‘DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION’ 628 | DECLARE_QU8_DWCONV_MINMAX_UNIPASS_UKERNEL_FUNCTION(xnn_qu8_dwconv_minmax_fp32_ukernel_25p32c__avx512skx_mul32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x16.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x16.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:469:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 469 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/reduction.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/registerizer.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x48.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x32.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x32.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:470:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 470 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/tensor.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/types.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x48.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x48.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:471:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 471 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x48) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x64.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x64.c:23:40: warning: argument 4 of type ‘const union xnn_qu8_f32_cvt_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_f32_cvt_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-f32-vcvt/gen/qu8-f32-vcvt-avx512skx-x64.c:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:442:43: note: previously declared as ‘const union xnn_qu8_f32_cvt_params *’ 442 | const union xnn_qu8_f32_cvt_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vcvt.h:472:1: note: in expansion of macro ‘DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION’ 472 | DECLARE_QU8_F32_VCVT_UKERNEL_FUNCTION(xnn_qu8_f32_vcvt_ukernel__avx512skx_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/tensorexpr/unique_name_manager.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:868:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 868 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/testing/file_check.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:869:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 869 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:870:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 870 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c:29:44: warning: argument 10 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 29 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-gemm/gen/qu8-gemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:683:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 683 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/gemm.h:871:1: note: in expansion of macro ‘DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION’ 871 | DECLARE_QU8_GEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_gemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/testing/hooks_for_testing.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-igemm/gen/qu8-igemm-4x16c8-minmax-fp32-avx512skx.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-1x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:621:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 621 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_1x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/backend/backend_device.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-4x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:624:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 624 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_4x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-2x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:622:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 622 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_2x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x16.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x32.c.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/backend/backend_interface.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/backend/lowering_context.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c:31:44: warning: argument 12 of type ‘const union xnn_qu8_conv_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 31 | const union xnn_qu8_conv_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) XNN_OOB_READS | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-igemm/gen/qu8-igemm-3x16c8-minmax-fp32-avx512skx.c:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:436:47: note: previously declared as ‘const union xnn_qu8_conv_minmax_params *’ 436 | const union xnn_qu8_conv_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/igemm.h:623:1: note: in expansion of macro ‘DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION’ 623 | DECLARE_QU8_IGEMM_MINMAX_UKERNEL_FUNCTION(xnn_qu8_igemm_minmax_fp32_ukernel_3x16c8__avx512skx) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/config.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x16.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:57:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 57 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/debug_util.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vadd/gen/qu8-vadd-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:58:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 58 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vadd_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/hash.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x16.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:95:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 95 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x16) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x32.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:23:43: warning: argument 5 of type ‘const union xnn_qu8_add_minmax_params[restrict static 1]’ with mismatched bound [-Warray-parameter=] 23 | const union xnn_qu8_add_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/qu8-vaddc/gen/qu8-vaddc-minmax-avx512skx-mul32-ld128-x32.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:28:46: note: previously declared as ‘const union xnn_qu8_add_minmax_params *’ 28 | const union xnn_qu8_add_minmax_params* params); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/vadd.h:96:1: note: in expansion of macro ‘DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION’ 96 | DECLARE_QU8_VADD_MINMAX_UKERNEL_FUNCTION(xnn_qu8_vaddc_minmax_ukernel__avx512skx_mul32_ld128_x32) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x64.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x128.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x192.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:52:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 52 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x192.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x192.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:54:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 54 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x192) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x128.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:53:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 53 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/helpers.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ir.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x256.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x64.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x128.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x256.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512skx-vpshufb-x256.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:55:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 55 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512skx_vpshufb_x256) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x192.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x256.c.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x64.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x64.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:57:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 57 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x64) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x128.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x128.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:58:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 58 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x128) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ir_dump_util.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ir_metadata.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2-k-over-64.c.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ir_util.cpp.o /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x192.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x192.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:59:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 59 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x192) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x256.c:23:19: warning: argument 4 of type ‘const uint8_t[restrict static 256]’ {aka ‘const unsigned char[restrict 256]’} with mismatched bound [-Warray-parameter=] 23 | const uint8_t table[restrict XNN_MIN_ELEMENTS(256)]) | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/x8-lut/gen/x8-lut-avx512vbmi-vpermx2b-x256.c:15: /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:26:22: note: previously declared as ‘const uint8_t *’ {aka ‘const unsigned char *’} 26 | const uint8_t* t); | ~~~~~~~~~~~~~~~^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/XNNPACK/src/xnnpack/lut.h:60:1: note: in expansion of macro ‘DECLARE_X8_LUT_UKERNEL_FUNCTION’ 60 | DECLARE_X8_LUT_UKERNEL_FUNCTION(xnn_x8_lut_ukernel__avx512vbmi_vpermx2b_x256) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/lazy_graph_executor.cpp.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2-k-over-2048.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-4.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-8.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-16.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-64.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/exp2minus-k-over-2048.c.o [ 85%] Building C object confu-deps/XNNPACK/CMakeFiles/microkernels-all.dir/src/tables/vlog.c.o [ 85%] Built target microkernels-all [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/metrics.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/multi_wait.cpp.o Compiling onerank_reduce.cu > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/onerank_reduce.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ops/arithmetic_ir_ops.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/ops/utils.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/permutation_util.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/shape.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/shape_inference.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/jit/serialization/unpickler.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/tensor.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/tensor_impl.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/tensor_util.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/thread_pool.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/core/trie.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/monitor/counters.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/monitor/events.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/collection.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/data_flow.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/kineto_client_interface.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/kineto_shim.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/orchestration/observer.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/orchestration/python_tracer.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/orchestration/vulkan.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/perf.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/standalone/execution_graph_observer.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/standalone/itt_observer.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/standalone/nvtx_observer.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/stubs/base.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/util.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/cpp_stacktraces.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/schema_info.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/tensor_flatten.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/variadic.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/cuda/interface.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/autocast.cpp.o [ 85%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/lower_graph.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/remove_inplace_ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/passes/utils/check_alias_annotation.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/register_c10_ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/register_prim_ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/register_prim_ops_fulljit.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/runtime/register_special_ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/debug_info.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/dynamic_ir.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/config.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ops/device_data.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ops/random_ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ops/generic.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/tensor_aten_ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_autograd_functions.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_backend_impl.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_eager_fallback.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_lowering_context.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_native_functions.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_node.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/lazy/ts_backend/ts_node_lowering.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/import_data.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/train/export_data.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/train/optim/sgd.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/train/random.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/train/sequential.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/flatbuffer_serializer.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/FunctionsManual.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/out_types.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/TraceTypeManual.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/VariableTypeManual.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/itt_wrapper.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/profiler/stubs/itt.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/jit.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/compatibility/backport.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/mobile/compatibility/backport_manager.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/onnx.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/export.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/export_bytecode.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/serialization/export_module.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/codegen/fuser/cpu/fused_kernel.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/jit/api/module_save.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/utils/byte_order.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/Backend.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/FileStore.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/GlooDeviceFactory.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_flatten.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_flatten.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/Ops.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ParamCommsUtils.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/PrefixStore.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ProcessGroup.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ProcessGroupGloo.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ProcessGroupMPI.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ProcessGroupWrapper.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/Store.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/TCPStore.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/Utils.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/comm.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/debug.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/default_comm_hooks.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/exception.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/logger.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/logging.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/quantization/quantization.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/reducer.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/sequence_num.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/socket.cpp.o [ 86%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/Work.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/autograd.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/utils.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/context/container.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/context/context.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/engine/dist_engine.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/functions/recvrpc_backward.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/functions/sendrpc_backward.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/autograd_metadata.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/propagate_gradients_req.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/propagate_gradients_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/cleanup_autograd_context_req.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/cleanup_autograd_context_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/rpc_with_autograd.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_req.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/rref_backward_req.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/autograd/rpc_messages/rref_backward_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/HashStore.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/c10d/ProcessGroupRoundRobin.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/agent_utils.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/message.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/profiler/remote_profiler_manager.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/profiler/server_process_global_profiler.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/python_call.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/python_remote_call.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/python_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/request_callback.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/request_callback_no_python.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/rpc_agent.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/rref_context.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/rref_impl.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/rref_proto.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/script_call.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/script_remote_call.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/script_resp.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/tensorpipe_agent.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/tensorpipe_utils.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/testing/faulty_tensorpipe_agent.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/torchscript_functions.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/types.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/distributed/rpc/utils.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/cuda.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/Backend.hpp:11, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/ProcessGroupGloo.hpp:21, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/ProcessGroupGloo.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/data/datasets/mnist.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/data/samplers/distributed.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/data/samplers/random.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/data/samplers/sequential.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/data/samplers/stream.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/enum.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/imethod.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/serialize.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/init.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/module.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/_functions.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/activation.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/adaptive.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/batchnorm.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/normalization.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/instancenorm.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/conv.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/dropout.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Dict.h:10, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/ivalue_inl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/reducer.hpp:10, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/reducer.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ Archiving objects > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/device/colldevice.a [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/distance.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/embedding.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/fold.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/linear.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/loss.cpp.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/padding.cpp.o Compiling graph/xml.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/xml.o [ 87%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/pixelshuffle.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/pooling.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/rnn.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/upsampling.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/transformer.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/modules/container/functional.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/activation.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/adaptive.cpp.o Compiling graph/trees.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/trees.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/batchnorm.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/embedding.cpp.o Compiling graph/rings.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/rings.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/instancenorm.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/normalization.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/conv.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/dropout.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/linear.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/padding.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/pooling.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/rnn.cpp.o Compiling graph/search.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/search.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/vision.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/nn/options/transformer.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/adagrad.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/adam.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/adamw.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/lbfgs.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/optimizer.cpp.o Compiling graph/paths.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/graph/paths.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/rmsprop.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/serialize.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/sgd.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/schedulers/lr_scheduler.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/optim/schedulers/step_lr.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/serialize/input-archive.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/serialize/output-archive.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/UfuncCPUKernel_add.cpp.AVX2.cpp.o Compiling collectives/reduce_scatter.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/reduce_scatter.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/kernels/QuantizedOpKernels.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/spherical_bessel_j0.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k1.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k0.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/layer_norm_kernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/group_norm_kernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/batch_norm_kernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/airy_ai.cpp.AVX2.cpp.o Compiling collectives/reduce.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/reduce.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/WeightNormKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleMoreKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnfoldBackwardKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Unfold2d.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/TensorCompareKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SumKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/StackKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SpmmReduceKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SparseFactories.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX2.cpp.o Compiling collectives/all_reduce.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/all_reduce.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ScatterGatherKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SampledAddmmKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RenormKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceAllOpsKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RangeFactoriesKernel.cpp.AVX2.cpp.o Compiling collectives/sendrecv.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/collectives/sendrecv.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PowKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PointwiseOpsKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PixelShuffleKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MultinomialKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxUnpoolKernel.cpp.AVX2.cpp.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPooling.cpp.AVX2.cpp.o Compiling transport/net.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport/net.o [ 88%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPoolKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LinearAlgebraKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/HistogramKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FunctionOfAMatrixUtilsKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FillKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistributionKernels.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DepthwiseConvKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ComplexKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ChannelShuffleKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CatKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BlasKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AvgPoolKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveMaxPoolKernel.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveAvgPoolKernel.cpp.AVX2.cpp.o Compiling misc/strongstream.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/misc/strongstream.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Activation.cpp.AVX2.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/UfuncCPUKernel_add.cpp.AVX512.cpp.o Compiling enqueue.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/enqueue.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/quantized/cpu/kernels/QuantizedOpKernels.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/spherical_bessel_j0.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k1.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/scaled_modified_bessel_k0.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/layer_norm_kernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/group_norm_kernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/batch_norm_kernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/airy_ai.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/WeightNormKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleMoreKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UpSampleKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnfoldBackwardKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Unfold2d.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/UnaryOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/TensorCompareKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SumKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/StackKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SpmmReduceKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SparseFactories.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SortingKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SoftMaxKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ScatterGatherKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/SampledAddmmKernel.cpp.AVX512.cpp.o Compiling transport.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/transport.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RenormKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ReduceAllOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/RangeFactoriesKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PowKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PointwiseOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/PixelShuffleKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MultinomialKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxUnpoolKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPooling.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/MaxPoolKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LinearAlgebraKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/LerpKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/IndexKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/HistogramKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/GridSamplerKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FunctionOfAMatrixUtilsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/FillKernel.cpp.AVX512.cpp.o Compiling bootstrap.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/bootstrap.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistributionKernels.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DistanceOpsKernel.cpp.AVX512.cpp.o [ 89%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/DepthwiseConvKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CrossKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CopyKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ComplexKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/ChannelShuffleKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/CatKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BlasKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/BinaryOpsKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AvgPoolKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveMaxPoolKernel.cpp.AVX512.cpp.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/AdaptiveAvgPoolKernel.cpp.AVX512.cpp.o Compiling channel.cc > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/obj/channel.o [ 90%] Building CXX object caffe2/CMakeFiles/torch_cpu.dir/__/aten/src/ATen/native/cpu/Activation.cpp.AVX512.cpp.o Linking libnccl.so.2.14.3 > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/lib/libnccl.so.2.14.3 Archiving libnccl_static.a > /builddir/build/BUILD/pytorch-v2.0.1/build/nccl/lib/libnccl_static.a [ 90%] No install step for 'nccl_external' [ 90%] Completed 'nccl_external' [ 90%] Built target nccl_external [ 90%] Building NVCC (Device) object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/nccl/gloo_cuda_generated_nccl.cu.o [ 90%] Building NVCC (Device) object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/gloo_cuda_generated_cuda.cu.o [ 90%] Building NVCC (Device) object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/gloo_cuda_generated_cuda_private.cu.o [ 90%] Slimming NCCL /builddir/build/BUILD/pytorch-v2.0.1/build [ 90%] Built target nccl_slim_external [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_ring_chunked.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_bcube.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_ring.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_halving_doubling.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_broadcast_one_to_all.cc.o [ 90%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_local.cc.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 34 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 34 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc: In instantiation of ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc: In instantiation of ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:34:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/transport/pair.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/context.h:15, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:13, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:9: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h: In instantiation of ‘gloo::enforce_detail::EnforceFailMessage gloo::enforce_detail::Less(const T1&, const T2&) [with T1 = int; T2 = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:155:5: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:128:26: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const long unsigned int’ [-Wsign-compare] 128 | BINARY_COMP_HELPER(Less, <) | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/common/logging.h:119:11: note: in definition of macro ‘BINARY_COMP_HELPER’ 119 | if (x op y) { \ | ^~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:60:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 60 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:86:25: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const int’ [-Wsign-compare] 86 | if (offset + length <= count_) { | ~~~~~~~~~~~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::run() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:142:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 142 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:144:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 144 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:153:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 153 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:155:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 155 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 40 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:163:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 163 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:165:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 165 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:174:30: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 174 | for (auto round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:177:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 177 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:222:29: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 222 | for (int round = 0; round < chunks_; round++) { | ~~~~~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:225:21: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 225 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:230:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 230 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:244:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 244 | if (round < (chunks_ - 2)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:250:15: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 250 | if (round < (chunks_ - 4)) { | ~~~~~~^~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:272:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 272 | for (auto i = 0; i < chunks_; i++) { | ~~^~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:274:23: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 274 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc: In instantiation of ‘void gloo::CudaAllreduceRingChunked::copyChunkAtOffset(int) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:305:19: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::ChunkContext, std::allocator >::ChunkContext> >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 305 | if (chunkOffset < chunkContext_.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:69:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 69 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:94:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 94 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::run() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:135:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 135 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::setupNodes() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:338:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 338 | for (int step = 0; step < steps_; ++step) { | ~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:98:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 98 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:128:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 128 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:138:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 138 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:140:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 140 | if (sendOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:147:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 147 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:149:43: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 149 | if (recvOffsets_[i] + stepChunkSize > count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:215:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 215 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::run() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:266:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 266 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:267:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 267 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:271:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 271 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:286:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 286 | if (i != stepsWithinBlock_ - 1) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:319:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 319 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:333:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const unsigned int’ [-Wsign-compare] 333 | for (int i = 0; i < numSendsAndReceivesToLargerBlock; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:348:45: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 348 | if (recvOffsets_[stepsWithinBlock_ - 1] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:362:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 362 | if (recvOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:367:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 367 | if (sendOffsets_[i] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initBinaryBlocks() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:48:18: warning: comparison of integer expressions of different signedness: ‘uint32_t’ {aka ‘unsigned int’} and ‘const int’ [-Wsign-compare] 48 | if (offset <= this->context_->rank) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::devicePointerInit() [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:414:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 414 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:417:16: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 417 | offset = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:420:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 420 | numElements = i == stepsWithinBlock_ - 1 ? recvCounts_[i] + sendCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:422:16: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 422 | if (offset > count_) { | ~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:426:30: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 426 | if (offset + numElements > count_) { | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:431:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for (int j = 0; j < devicePtrs_.size(); j++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:436:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 436 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:439:23: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 439 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:443:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 443 | for (int i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:444:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 444 | if (sendOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:448:25: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long unsigned int>::value_type’ {aka ‘long unsigned int’} and ‘const int’ [-Wsign-compare] 448 | if (recvOffsets_[0] < count_) { /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 374 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc: In instantiation of ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:374:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc: In instantiation of ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:40:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:478:14: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 478 | if (bytes_ < kOnDeviceThreshold) { | ~~~~~~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:577:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 577 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:582:41: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 582 | const size_t numElementsInBcast = i == stepsWithinBlock_ - 1 | ~~^~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc: In instantiation of ‘void gloo::CudaAllreduceHalvingDoubling::initReductionsAndBroadcasts(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:241:32: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:630:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 630 | for (int i = 0; i < stepsWithinBlock_; i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:640:11: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 640 | i == stepsWithinBlock_ - 1 ? sendCounts_[i] + recvCounts_[i] | ~~^~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:26:37: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:50:26: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:70:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:71:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:72:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:73:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:74:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:75:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:76:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:48:23: required from ‘gloo::CudaAllreduceLocal::CudaAllreduceLocal(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_local.cc:77:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:27:37: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:153:52: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/algorithm.h:14: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = signed char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:18, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = unsigned char; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:53:37: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:346:52: required from ‘void gloo::CudaAllreduceRingChunked::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:82:7: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:196:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = double; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:197:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:198:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:199:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:200:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:201:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:396:52: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:202:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:166:27: required from ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:83:26: required from ‘gloo::CudaBroadcastOneToAll::CudaBroadcastOneToAll(const std::shared_ptr&, const std::vector&, int, int, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:203:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:137:19: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h: In instantiation of ‘void gloo::sum(void*, const void*, const void*, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:27:9: required from ‘void gloo::sum(T*, const T*, size_t) [with T = float16; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda.h:349:3: required from ‘const gloo::CudaReductionFunction* gloo::CudaReductionFunction::sum’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:75:37: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/math.h:20:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 20 | for (auto i = 0; i < n; i++) { | ~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:164:26: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:181:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:182:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:183:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:98:32: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h: In instantiation of ‘int gloo::findCudaDevicePointerClosestToDevice(std::vector >&, std::shared_ptr&) [with T = float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:500:52: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:68:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 68 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_private.h:86:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 86 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:184:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:363:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:185:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:364:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:186:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:187:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:365:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:64:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:162:23: required from ‘void gloo::CudaAllreduceRing::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:45:7: required from ‘gloo::CudaAllreduceRing::CudaAllreduceRing(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring.cc:188:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:366:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:367:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:368:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:369:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:96:29: required from ‘gloo::CudaAllreduceRingChunked::CudaAllreduceRingChunked(const std::shared_ptr&, const std::vector&, int, const std::vector&) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_ring_chunked.cc:370:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:12: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:21: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = signed char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = signed char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = unsigned char; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = unsigned char; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:376:23: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:405:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:408:28: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:508:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:509:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:510:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = long unsigned int; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = long unsigned int; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:511:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:512:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = float; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:513:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:514:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = double; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = double; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:380:38: required from ‘void gloo::CudaAllreduceBcube::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:79:7: required from ‘gloo::CudaAllreduceBcube::CudaAllreduceBcube(const std::shared_ptr&, const std::vector&, int, const std::vector&, const gloo::CudaReductionFunction*) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_bcube.cc:515:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘gloo::CudaLocalHostReduce >::CudaLocalHostReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalHostReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:237:51: required from ‘std::unique_ptr > gloo::cudaHostReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:480:23: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:103:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 103 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:523:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:52:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 52 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘gloo::CudaLocalNCCLBroadcast >::CudaLocalNCCLBroadcast(std::vector&, std::vector >&, gloo::CudaDevicePointer&, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’: /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLBroadcast >; _Args = {vector >&, vector, allocator > >&, gloo::CudaDevicePointer&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:79:54: required from ‘std::unique_ptr > gloo::cudaDeviceBroadcast(std::vector&, std::vector >&, Src&, size_t, size_t) [with T = float16; Src = CudaDevicePointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:525:28: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaDeviceWorkspace; T = gloo::float16; W = gloo::CudaDeviceWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaDevicePointer; typename U::Pointer = gloo::CudaDevicePointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaDeviceWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:154:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 154 | for (auto i = 0; i < devicePtrs.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = signed char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = signed char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = signed char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = signed char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = signed char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:649:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 25 | for (auto i = 0; i < ptrs.size(); i++) { | ~~^~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = unsigned char; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = unsigned char; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = unsigned char; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = unsigned char; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:650:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:651:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:652:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = long unsigned int; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = long unsigned int; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = long unsigned int; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:653:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = float; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = float; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = float; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:654:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = double; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = double; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = double; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = double; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = double; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:655:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h: In instantiation of ‘std::vector > gloo::toDeviceElements(std::vector&, const std::vector >&, size_t, size_t) [with T = float16; size_t = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:105:27: required from ‘gloo::CudaLocalNCCLReduce >::CudaLocalNCCLReduce(std::vector&, std::vector >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*, size_t, size_t) [with T = gloo::float16; size_t = long unsigned int]’ /usr/include/c++/12/bits/unique_ptr.h:1065:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = gloo::CudaLocalNCCLReduce >; _Args = {vector >&, vector, allocator > >&, gloo::CudaHostPointer&, const gloo::CudaReductionFunction*&, long unsigned int&, long unsigned int&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t > >]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_device.h:50:51: required from ‘std::unique_ptr > gloo::cudaDeviceReduce(std::vector&, std::vector >&, Dst&, const CudaReductionFunction*, size_t, size_t) [with T = float16; Dst = CudaHostPointer; size_t = long unsigned int]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:485:25: required from ‘void gloo::CudaAllreduceHalvingDoubling::init(typename std::enable_if >::value, typename U::Pointer>::type*) [with U = gloo::CudaHostWorkspace; T = gloo::float16; W = gloo::CudaHostWorkspace; typename std::enable_if >::value, typename U::Pointer>::type = gloo::CudaHostPointer; typename U::Pointer = gloo::CudaHostPointer]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:109:7: required from ‘gloo::CudaAllreduceHalvingDoubling::CudaAllreduceHalvingDoubling(const std::shared_ptr&, const std::vector&, int, const std::vector&, bool) [with T = gloo::float16; W = gloo::CudaHostWorkspace]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_allreduce_halving_doubling.cc:656:1: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_nccl.h:25:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = gloo::float16]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = double]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = float]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long unsigned int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = long int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = int]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = unsigned char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:199:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:201:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 201 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostBroadcast >::wait() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:206:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:207:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 207 | for (auto i = 0; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h: In instantiation of ‘void gloo::CudaLocalHostReduce >::runAsync() [with T = signed char]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:108:16: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:111:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 111 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/gloo/gloo/cuda_collectives_host.h:116:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector, std::allocator > >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (auto i = 1; i < devicePtrs_.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ [ 90%] Linking CXX static library ../../../lib/libgloo_cuda.a [ 90%] Built target gloo_cuda [ 90%] Linking CXX shared library ../lib/libtorch_cpu.so [ 90%] Built target torch_cpu [ 90%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/cuda/CUDAContext.cpp.o [ 90%] Building CXX object 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caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/DistributionLogNormalKernel.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/DistributionNormal.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/DistributionRandomKernel.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/DistributionUniform.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Distributions.cu.o [ 91%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Dropout.cu.o [ 92%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Embedding.cu.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/Backend.hpp:11, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp:13, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 92%] Building CUDA object 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caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/backward_f32_k64.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_bf16.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_bf16_aligned.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_f16.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_f16_aligned.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_f32.cu.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/mem_eff_attention/kernels/forward_f32_aligned.cu.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/RegisterCUDA.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/RegisterNestedTensorCUDA.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/RegisterQuantizedCUDA.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/RegisterSparseCUDA.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/RegisterSparseCsrCUDA.cpp.o [ 94%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/UfuncCUDA_add.cu.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/cuda/CUDABlas.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/cuda/CUDASparseBlas.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/cuda/CublasHandlePool.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Activation.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/LinearAlgebraStubs.cpp.o [ 94%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Blas.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Distributions.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Equal.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/GridSampler.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/IndexKernel.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/ReduceOps.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/ScanKernels.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Sort.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Sorting.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/TensorModeKernel.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/TensorShapeCUDA.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/TensorTopK.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/jit_utils.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/nested/cuda/NestedTensorTransformerFunctions.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseBlas.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseBlasImpl.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/cuda/Sorting.cpp:3: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseBlasLegacy.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/sparse/cuda/SparseCUDABlas.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_api.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/CudaIPCTypes.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/cuda/comm.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/cuda/memory_snapshot.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/jit/codegen/fuser/cuda/fused_kernel.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/profiler/stubs/cuda.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/autograd/functions/comm.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/jit/passes/frozen_conv_add_relu_fusion_cuda.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/jit/tensorexpr/cuda_codegen.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda.dir/__/torch/csrc/jit/runtime/register_cuda_ops.cpp.o [ 95%] Building CUDA object caffe2/CMakeFiles/torch_cuda.dir/__/aten/src/ATen/native/cuda/Unique.cu.o /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_api.cpp: In function ‘void fmha::set_params_fprop(FMHA_fprop_params&, size_t, size_t, size_t, size_t, size_t, at::Tensor, at::Tensor, at::Tensor, at::Tensor, void*, void*, void*, void*, void*, float, float, bool, int)’: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_api.cpp:72:11: warning: ‘void* memset(void*, int, size_t)’ clearing an object of non-trivial type ‘struct FMHA_fprop_params’; use assignment or value-initialization instead [-Wclass-memaccess] 72 | memset(¶ms, 0, sizeof(params)); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/transformers/cuda/flash_attn/fmha_api.cpp:38: /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/native/transformers/cuda/flash_attn/fmha.h:75:8: note: ‘struct FMHA_fprop_params’ declared here 75 | struct FMHA_fprop_params : public Qkv_params { | ^~~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/GeneratorImpl.h:8, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Generator.h:22, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/CPUGeneratorImpl.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/Context.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/ATen.h:7, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/cuda/comm.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/cuda/comm.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 95%] Linking CXX shared library ../lib/libtorch_cuda.so [ 95%] Built target torch_cuda [ 95%] Building CXX object caffe2/CMakeFiles/torch.dir/__/empty.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda_linalg.dir/__/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebra.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda_linalg.dir/__/aten/src/ATen/native/cuda/linalg/BatchLinearAlgebraLib.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda_linalg.dir/__/aten/src/ATen/native/cuda/linalg/CUDASolver.cpp.o [ 95%] Building CXX object caffe2/CMakeFiles/torch_cuda_linalg.dir/__/aten/src/ATen/native/cuda/linalg/CusolverDnHandlePool.cpp.o [ 95%] Linking 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third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/kernel_expr_evaluator.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/executor.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/executor_kernel_arg.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/fusion.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/evaluator_common.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/graph_fuser.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/executor_utils.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/executor_launch_params.cpp.o [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/lower_index_compute.cpp.o [ 95%] Building CXX object 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object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/eval_peephole.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/constant_fold.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/constant_map.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/eliminate_unused_items.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/fixup_onnx_controlflow.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/list_model_parameters.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/function_substitution.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/helper.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/peephole.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/preprocess_for_onnx.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/prepare_division_for_onnx.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/scalar_type_analysis.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/unpack_quantized_weights.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/remove_inplace_ops_for_onnx.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/shape_type_inference.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/function_extraction.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/onnx_log.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/naming.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/pybind_utils.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/pattern_conversion/autograd_function_process.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/pattern_conversion/common.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/pattern_conversion/pattern_encapsulation.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/passes/onnx/pattern_conversion/pattern_conversion.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_arg_flatten.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_custom_class.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_dict.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_interpreter.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_ir.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_list.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_tracer.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/script_init.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/frontend/concrete_module_type.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/frontend/tree_views.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_sugared_value.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/python/python_tree_views.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/runtime/static/init.cpp.o [ 97%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/tensorexpr/tensorexpr_init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/monitor/python_init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/multiprocessing/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/onnx/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/profiler/python/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/serialization.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/tensor/python_tensor.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/throughput_benchmark.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/cuda_lazy_init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/invalid_arguments.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/nested.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/object_ptr.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/python_arg_parser.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/python_dispatch.cpp.o In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/NamedTensor.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/NamedTensor.h:1, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/NamedTensorUtils.h:2, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/autograd/python_variable.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/python_symnode.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/pybind.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/structseq.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_apply.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_dtypes.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_layouts.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_memoryformats.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_qschemes.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_list.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_new.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_numpy.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/tensor_types.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/disable_torch_function.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/utils/verbose.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/lazy/python/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/lazy/python/python_util.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/init_flatbuffer_module.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/itt.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/Event.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/Module.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/python_comm.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/Stream.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/Graph.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/shared/cudart.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/shared/nvtx.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/utils.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/CUDAPluggableAllocator.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/shared/cudnn.cpp.o [ 98%] Linking CXX shared library ../../lib/libnvfuser_codegen.so In file included from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/DeprecatedTypeProperties.h:6, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_types.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_types.cpp:3: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/c10d/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/c10d/python_comm_hook.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/autograd/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/py_rref.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/python_functions.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/python_rpc_handler.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/request_callback_impl.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/testing/init.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/unpickled_python_call.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/unpickled_python_remote_call.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/runtime/register_distributed_ops.cpp.o [ 98%] Building CXX object caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/python_nccl.cpp.o [ 98%] Built target nvfuser_codegen /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/cuda/Module.cpp: In static member function ‘static std::shared_ptr StackContext::gather_with_cpp()’: /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/cuda/Module.cpp:634:21: warning: redundant move in return statement [-Wredundant-move] 634 | return std::move(r); | ~~~~~~~~~^~~ /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/cuda/Module.cpp:634:21: note: remove ‘std::move’ call In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_apply.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_apply.cpp:1: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorImpl.h:11, from /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h:20, from /builddir/build/BUILD/pytorch-v2.0.1/aten/src/ATen/core/Tensor.h:3, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/pybind.h:5, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/Exceptions.h:19, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/python_arg_parser.h:48, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_new.h:4, from /builddir/build/BUILD/pytorch-v2.0.1/torch/csrc/utils/tensor_new.cpp:2: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h: In function ‘c10::DispatchKey c10::computeDispatchKey(optional, optional, optional)’: /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:666:5: warning: this statement may fall through [-Wimplicit-fallthrough=] 666 | } | ^ /builddir/build/BUILD/pytorch-v2.0.1/c10/core/TensorOptions.h:667:5: note: here 667 | case Layout::Sparse: | ^~~~ [ 98%] Linking CXX shared library ../../lib/libtorch_python.so [ 98%] Built target torch_python [100%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser.dir/csrc/python_frontend/python_bindings.cpp.o [100%] Building CXX object functorch/CMakeFiles/functorch.dir/csrc/dim/dim.cpp.o [100%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser.dir/csrc/python_frontend/python_bindings_extension.cpp.o [100%] Building CXX object caffe2/torch/CMakeFiles/nnapi_backend.dir/csrc/jit/backends/nnapi/nnapi_backend_lib.cpp.o [100%] Building CXX object functorch/CMakeFiles/functorch.dir/csrc/init_dim_only.cpp.o [100%] Building CXX object caffe2/torch/CMakeFiles/nnapi_backend.dir/csrc/jit/backends/nnapi/nnapi_backend_preprocess.cpp.o [100%] Linking CXX shared library ../../lib/libnnapi_backend.so [100%] Built target nnapi_backend [100%] Linking CXX shared module functorch.so [100%] Built target functorch [100%] Linking CXX shared module ../../nvfuser/nvfuser.so [100%] Built target nvfuser Install the project... -- Install configuration: "Release" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/bin/protoc-3.13.0.0" to "$ORIGIN/../lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libc10_cuda.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libc10.so" to "$ORIGIN" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libcaffe2_nvrtc.so" to "$ORIGIN:/usr/local/cuda/lib64/stubs:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cuda_linalg.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libshm.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/bin/torch_shm_manager" to "$ORIGIN/../lib:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_python.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cpu.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cuda.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_global_deps.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/third_party/nvfuser/../../torch/lib/libnvfuser_codegen.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/third_party/nvfuser/../../nvfuser/nvfuser.so" to "$ORIGIN/../torch/lib:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/functorch/functorch.so" to "$ORIGIN/../torch/lib:/usr/local/cuda/lib64" Building wheel torch-2.0.1 -- Building version 2.0.1 cmake3 -DBUILD_PYTHON=True -DBUILD_TEST=False -DCMAKE_BUILD_TYPE=Release -DCMAKE_CUDA_COMPILER=/usr/local/cuda-12.1/bin/nvcc -DCMAKE_INSTALL_PREFIX=/builddir/build/BUILD/pytorch-v2.0.1/torch -DCMAKE_PREFIX_PATH=/usr/lib/python3.10/site-packages -DCUDA_NVCC_EXECUTABLE=/usr/local/cuda-12.1/bin/nvcc -DNUMPY_INCLUDE_DIR=/usr/lib64/python3.10/site-packages/numpy/core/include -DPYTHON_EXECUTABLE=/usr/bin/python3 -DPYTHON_INCLUDE_DIR=/usr/include/python3.10 -DPYTHON_LIBRARY=/usr/lib64/libpython3.10.so.1.0 -DTORCH_BUILD_VERSION=2.0.1 -DUSE_NUMPY=True /builddir/build/BUILD/pytorch-v2.0.1 cmake3 --build . --target install --config Release -- -j 80 running build running build_py creating build/lib.linux-x86_64-cpython-310 creating build/lib.linux-x86_64-cpython-310/torch copying torch/types.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_deploy.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/hub.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/storage.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_sources.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_classes.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/torch_version.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_lobpcg.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_torch_docs.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/quasirandom.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/serialization.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_lowrank.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_weights_only_unpickler.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/functional.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/__future__.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_VF.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/__config__.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_utils.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/overrides.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_utils_internal.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_meta_registrations.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_vmap_internals.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/library.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_storage_docs.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/__init__.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_guards.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_ops.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_jit_internal.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/return_types.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_appdirs.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_tensor_str.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_tensor_docs.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_tensor.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_linalg_utils.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_namedtensor_internals.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/random.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/_python_dispatcher.py -> build/lib.linux-x86_64-cpython-310/torch copying torch/version.py -> build/lib.linux-x86_64-cpython-310/torch creating build/lib.linux-x86_64-cpython-310/nvfuser copying nvfuser/__init__.py -> build/lib.linux-x86_64-cpython-310/nvfuser creating build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen_backend_stubs.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/utils.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/native_function_generation.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/context.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen_vmap_plumbing.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/code_template.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/local.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/model.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen_executorch.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen_lazy_tensor.py -> build/lib.linux-x86_64-cpython-310/torchgen copying torchgen/gen_functionalization_type.py -> build/lib.linux-x86_64-cpython-310/torchgen creating build/lib.linux-x86_64-cpython-310/functorch copying functorch/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch creating build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/lowering.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/utils.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/mkldnn.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/fx_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/optimize_indexing.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/codecache.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/virtualized.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/exc.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/ir.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/debug.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/pattern_matcher.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/cuda_properties.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/overrides.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/test_operators.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/decomposition.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/graph.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/config.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/compile_fx.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/sizevars.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/dependencies.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/select_algorithm.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor copying torch/_inductor/metrics.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor creating build/lib.linux-x86_64-cpython-310/torch/sparse copying torch/sparse/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/sparse creating build/lib.linux-x86_64-cpython-310/torch/masked copying torch/masked/_docs.py -> build/lib.linux-x86_64-cpython-310/torch/masked copying torch/masked/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/masked copying torch/masked/_ops.py -> build/lib.linux-x86_64-cpython-310/torch/masked creating build/lib.linux-x86_64-cpython-310/torch/_prims_common copying torch/_prims_common/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_prims_common copying torch/_prims_common/wrappers.py -> build/lib.linux-x86_64-cpython-310/torch/_prims_common creating build/lib.linux-x86_64-cpython-310/torch/func copying torch/func/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/func creating build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/pytree_hacks.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/functional_call.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/utils.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/python_key.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/aot_autograd.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/benchmark_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/compilers.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/autograd_function.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/make_functional.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/eager_transforms.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/config.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/fx_minifier.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/pyfunctorch.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/top_operators_github_usage.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/partitioners.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/batch_norm_replacement.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/deprecated.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/vmap.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch copying torch/_functorch/compile_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_functorch creating build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/half_cauchy.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/categorical.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/gumbel.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/continuous_bernoulli.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/pareto.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/kl.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/one_hot_categorical.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/lowrank_multivariate_normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/lkj_cholesky.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/beta.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/dirichlet.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/multinomial.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/gamma.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/kumaraswamy.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/exponential.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/independent.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/cauchy.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/distribution.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/relaxed_categorical.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/transforms.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/transformed_distribution.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/constraint_registry.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/relaxed_bernoulli.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/von_mises.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/half_normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/chi2.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/weibull.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/mixture_same_family.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/negative_binomial.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/constraints.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/geometric.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/fishersnedecor.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/binomial.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/log_normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/uniform.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/bernoulli.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/exp_family.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/wishart.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/poisson.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/laplace.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/logistic_normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/studentT.py -> build/lib.linux-x86_64-cpython-310/torch/distributions copying torch/distributions/multivariate_normal.py -> build/lib.linux-x86_64-cpython-310/torch/distributions creating build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/ts_backend.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/tensor_factory_functions.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/debug.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/computation.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/ir_cache.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/config.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/closure.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/extract_compiled_graph.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/device_context.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy copying torch/_lazy/metrics.py -> build/lib.linux-x86_64-cpython-310/torch/_lazy creating build/lib.linux-x86_64-cpython-310/torch/_dispatch copying torch/_dispatch/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_dispatch copying torch/_dispatch/python.py -> build/lib.linux-x86_64-cpython-310/torch/_dispatch creating build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/init.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/grad.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/_reduction.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/cpp.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/functional.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/common_types.py -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/parameter.py -> build/lib.linux-x86_64-cpython-310/torch/nn creating build/lib.linux-x86_64-cpython-310/torch/contrib copying torch/contrib/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/contrib copying torch/contrib/_tensorboard_vis.py -> build/lib.linux-x86_64-cpython-310/torch/contrib creating build/lib.linux-x86_64-cpython-310/torch/_refs copying torch/_refs/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_refs copying torch/_refs/_conversions.py -> build/lib.linux-x86_64-cpython-310/torch/_refs copying torch/_refs/fft.py -> build/lib.linux-x86_64-cpython-310/torch/_refs creating build/lib.linux-x86_64-cpython-310/torch/ao copying torch/ao/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao creating build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/profiler_legacy.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/forward_ad.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/variable.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/functional.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/profiler_util.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/anomaly_mode.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/grad_mode.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/profiler.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/graph.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/gradcheck.py -> build/lib.linux-x86_64-cpython-310/torch/autograd copying torch/autograd/function.py -> build/lib.linux-x86_64-cpython-310/torch/autograd creating build/lib.linux-x86_64-cpython-310/torch/backends copying torch/backends/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends creating build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adadelta.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/lbfgs.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/rmsprop.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/sgd.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/_functional.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/radam.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adamw.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/rprop.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/asgd.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/swa_utils.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/lr_scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adagrad.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/nadam.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adamax.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/sparse_adam.py -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adam.py -> build/lib.linux-x86_64-cpython-310/torch/optim creating build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_recursive.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/frontend.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_async.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_trace.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_decomposition_utils.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/unsupported_tensor_ops.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_decompositions.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/annotations.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_check.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_shape_functions.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_monkeytype_config.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_await.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_logging.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/supported_ops.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/quantized.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_serialization.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_state.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_builtins.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_dataclass_impls.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/generate_bytecode.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_script.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_fuser.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_pickle.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_ir_utils.py -> build/lib.linux-x86_64-cpython-310/torch/jit copying torch/jit/_freeze.py -> build/lib.linux-x86_64-cpython-310/torch/jit creating build/lib.linux-x86_64-cpython-310/torch/futures copying torch/futures/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/futures creating build/lib.linux-x86_64-cpython-310/torch/nested copying torch/nested/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nested creating build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_cuda_trace.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_zip.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_pytree.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_cpp_extension_versioner.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/dlpack.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/mkldnn.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/checkpoint.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_foreach_utils.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_crash_handler.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_contextlib.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/show_pickle.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/backend_registration.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/hooks.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_mode_utils.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/model_zoo.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/cpp_extension.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/file_baton.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_traceback.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/collect_env.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_device.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/weak.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_python_dispatch.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/throughput_benchmark.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/cpp_backtrace.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_stats.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/_freeze.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/bundled_inputs.py -> build/lib.linux-x86_64-cpython-310/torch/utils copying torch/utils/mobile_optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/utils creating build/lib.linux-x86_64-cpython-310/torch/_subclasses copying torch/_subclasses/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_subclasses copying torch/_subclasses/meta_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_subclasses copying torch/_subclasses/fake_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_subclasses copying torch/_subclasses/fake_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/_subclasses creating build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/spawn.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/_atfork.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/reductions.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/queue.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing copying torch/multiprocessing/pool.py -> build/lib.linux-x86_64-cpython-310/torch/multiprocessing creating build/lib.linux-x86_64-cpython-310/torch/linalg copying torch/linalg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/linalg creating build/lib.linux-x86_64-cpython-310/torch/_awaits copying torch/_awaits/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_awaits creating build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/itt.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/_memory_profiler.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/_pattern_matcher.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/profiler.py -> build/lib.linux-x86_64-cpython-310/torch/profiler copying torch/profiler/python_tracer.py -> build/lib.linux-x86_64-cpython-310/torch/profiler creating build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/_pytree.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/operator_schemas.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/traceback.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/_compatibility.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/tensor_type.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/annotate.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/proxy.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/graph_module.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/_symbolic_trace.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/graph.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/interpreter.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/subgraph_rewriter.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/config.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/node.py -> build/lib.linux-x86_64-cpython-310/torch/fx copying torch/fx/immutable_collections.py -> build/lib.linux-x86_64-cpython-310/torch/fx creating build/lib.linux-x86_64-cpython-310/torch/special copying torch/special/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/special creating build/lib.linux-x86_64-cpython-310/torch/amp copying torch/amp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/amp copying torch/amp/autocast_mode.py -> build/lib.linux-x86_64-cpython-310/torch/amp creating build/lib.linux-x86_64-cpython-310/torch/_export copying torch/_export/logical_schema.py -> build/lib.linux-x86_64-cpython-310/torch/_export copying torch/_export/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_export creating build/lib.linux-x86_64-cpython-310/torch/_decomp copying torch/_decomp/decompositions.py -> build/lib.linux-x86_64-cpython-310/torch/_decomp copying torch/_decomp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_decomp copying torch/_decomp/decompositions_for_jvp.py -> build/lib.linux-x86_64-cpython-310/torch/_decomp creating build/lib.linux-x86_64-cpython-310/torch/monitor copying torch/monitor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/monitor creating build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/glob_group.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_stdlib.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/package_importer.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_directory_reader.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/file_structure_representation.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_digraph.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/importer.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/package_exporter.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/find_file_dependencies.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_mangling.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_mock.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_importlib.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_package_unpickler.py -> build/lib.linux-x86_64-cpython-310/torch/package copying torch/package/_package_pickler.py -> build/lib.linux-x86_64-cpython-310/torch/package creating build/lib.linux-x86_64-cpython-310/torch/mps copying torch/mps/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/mps creating build/lib.linux-x86_64-cpython-310/torch/_prims copying torch/_prims/executor.py -> build/lib.linux-x86_64-cpython-310/torch/_prims copying torch/_prims/nvfuser_executor.py -> build/lib.linux-x86_64-cpython-310/torch/_prims copying torch/_prims/context.py -> build/lib.linux-x86_64-cpython-310/torch/_prims copying torch/_prims/nvfuser_prims.py -> build/lib.linux-x86_64-cpython-310/torch/_prims copying torch/_prims/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_prims creating build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset8.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_experimental.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/utils.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset15.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/verification.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset10.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_helper.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_type_utils.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset17.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset16.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_onnx_supported_ops.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/errors.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_exporter_states.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset18.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_globals.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset12.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/operators.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset11.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset13.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset14.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_deprecation.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset9.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/_constants.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_caffe2.py -> build/lib.linux-x86_64-cpython-310/torch/onnx copying torch/onnx/symbolic_opset7.py -> build/lib.linux-x86_64-cpython-310/torch/onnx creating build/lib.linux-x86_64-cpython-310/torch/testing copying torch/testing/_comparison.py -> build/lib.linux-x86_64-cpython-310/torch/testing copying torch/testing/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing copying torch/testing/_creation.py -> build/lib.linux-x86_64-cpython-310/torch/testing creating build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/quantize.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/quantize_jit.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/fuse_modules.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/_numeric_suite_fx.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/utils.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/observer.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/qconfig.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/quant_type.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/quantization_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/quantize_fx.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/fuser_method_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/_numeric_suite.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/stubs.py -> build/lib.linux-x86_64-cpython-310/torch/quantization copying torch/quantization/fake_quantize.py -> build/lib.linux-x86_64-cpython-310/torch/quantization creating build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/launch.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/c10d_error_logger.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/remote_device.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/rendezvous.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/logging_handlers.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/argparse_util.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/_composable_state.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/distributed_c10d.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/run.py -> build/lib.linux-x86_64-cpython-310/torch/distributed copying torch/distributed/constants.py -> build/lib.linux-x86_64-cpython-310/torch/distributed creating build/lib.linux-x86_64-cpython-310/torch/fft copying torch/fft/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fft creating build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/sparse.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/_sanitizer.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/error.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/streams.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/profiler.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/nvtx.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/memory.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/jiterator.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/graphs.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/comm.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/_memory_viz.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/nccl.py -> build/lib.linux-x86_64-cpython-310/torch/cuda copying torch/cuda/random.py -> build/lib.linux-x86_64-cpython-310/torch/cuda creating build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/logging.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/types.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/utils.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/mutation_guard.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/testing.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/test_minifier_common.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/hooks.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/skipfiles.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/exc.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/replay_record.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/allowed_functions.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/side_effects.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/codegen.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/debug_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/symbolic_convert.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/output_graph.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/test_case.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/resume_execution.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/profiler.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/config_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/convert_frame.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/guards.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/config.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/source.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/bytecode_analysis.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/comptime.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/external_utils.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/eval_frame.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo copying torch/_dynamo/bytecode_transformation.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo creating build/lib.linux-x86_64-cpython-310/torch/signal copying torch/signal/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/signal creating build/lib.linux-x86_64-cpython-310/torch/cpu copying torch/cpu/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/cpu creating build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/triton.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/cpp.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/wrapper.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/autotuner.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen copying torch/_inductor/codegen/common.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen creating build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/utils.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/conv_perf_model.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/conv.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/conv1x1.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops copying torch/_inductor/triton_ops/autotune.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops creating build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel copying torch/_inductor/kernel/mm_plus_mm.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel copying torch/_inductor/kernel/bmm.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel copying torch/_inductor/kernel/mm_common.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel copying torch/_inductor/kernel/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel copying torch/_inductor/kernel/mm.py -> build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel creating build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/reductions.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/core.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/unary.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/_ops_refs.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/creation.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/passthrough.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor copying torch/masked/maskedtensor/binary.py -> build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor creating build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/distributed.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/_replicated_tensor_ddp_utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/scatter_gather.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/_replicated_tensor_ddp_interop.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/replicate.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/parallel_apply.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/_functions.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/data_parallel.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/comm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel creating build/lib.linux-x86_64-cpython-310/torch/nn/backends copying torch/nn/backends/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/backends copying torch/nn/backends/thnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/backends creating build/lib.linux-x86_64-cpython-310/torch/nn/qat copying torch/nn/qat/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat creating build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/pooling.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/loss.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/instancenorm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/distance.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/sparse.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/padding.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/module.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/container.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/dropout.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/lazy.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/flatten.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/fold.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/normalization.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/batchnorm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/_functions.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/transformer.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/activation.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/adaptive.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/upsampling.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/channelshuffle.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules copying torch/nn/modules/pixelshuffle.py -> build/lib.linux-x86_64-cpython-310/torch/nn/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic copying torch/nn/intrinsic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic creating build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/init.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/_named_member_accessor.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/parametrize.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/fusion.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/clip_grad.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/weight_norm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/_per_sample_grad.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/_deprecation_utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/stateless.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/convert_parameters.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/memory_format.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/spectral_norm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/parametrizations.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils copying torch/nn/utils/prune.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized copying torch/nn/quantized/functional.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized copying torch/nn/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized creating build/lib.linux-x86_64-cpython-310/torch/nn/quantizable copying torch/nn/quantizable/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantizable creating build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules copying torch/nn/qat/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules copying torch/nn/qat/modules/embedding_ops.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules copying torch/nn/qat/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules copying torch/nn/qat/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic copying torch/nn/qat/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic creating build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/modules copying torch/nn/qat/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/modules copying torch/nn/qat/dynamic/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat copying torch/nn/intrinsic/qat/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/modules copying torch/nn/intrinsic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/modules copying torch/nn/intrinsic/modules/fused.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized copying torch/nn/intrinsic/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules copying torch/nn/intrinsic/qat/modules/conv_fused.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules copying torch/nn/intrinsic/qat/modules/linear_fused.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules copying torch/nn/intrinsic/qat/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules copying torch/nn/intrinsic/qat/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules copying torch/nn/intrinsic/quantized/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules copying torch/nn/intrinsic/quantized/modules/bn_relu.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules copying torch/nn/intrinsic/quantized/modules/conv_relu.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules copying torch/nn/intrinsic/quantized/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic copying torch/nn/intrinsic/quantized/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic creating build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/modules copying torch/nn/intrinsic/quantized/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/modules copying torch/nn/intrinsic/quantized/dynamic/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/conv_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/linear_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/embedding_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/conv_utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/expanded_weights_utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/group_norm_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/layer_norm_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/instance_norm_expanded_weights.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights copying torch/nn/utils/_expanded_weights/expanded_weights_impl.py -> build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/functional_modules.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/dropout.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/normalization.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/batchnorm.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/embedding_ops.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/activation.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules copying torch/nn/quantized/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference copying torch/nn/quantized/_reference/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic copying torch/nn/quantized/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/utils.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/sparse.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules copying torch/nn/quantized/_reference/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules copying torch/nn/quantized/dynamic/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules copying torch/nn/quantized/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules copying torch/nn/quantized/dynamic/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules copying torch/nn/quantized/dynamic/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules copying torch/nn/quantizable/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules copying torch/nn/quantizable/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules copying torch/nn/quantizable/modules/activation.py -> build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules creating build/lib.linux-x86_64-cpython-310/torch/_refs/nn copying torch/_refs/nn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_refs/nn creating build/lib.linux-x86_64-cpython-310/torch/_refs/linalg copying torch/_refs/linalg/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_refs/linalg creating build/lib.linux-x86_64-cpython-310/torch/_refs/special copying torch/_refs/special/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_refs/special creating build/lib.linux-x86_64-cpython-310/torch/_refs/nn/functional copying torch/_refs/nn/functional/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_refs/nn/functional creating build/lib.linux-x86_64-cpython-310/torch/ao/nn copying torch/ao/nn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn creating build/lib.linux-x86_64-cpython-310/torch/ao/ns copying torch/ao/ns/_numeric_suite_fx.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns copying torch/ao/ns/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns copying torch/ao/ns/_numeric_suite.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns creating build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/quantize.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/quantize_jit.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/fuse_modules.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/observer.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/qconfig.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/_equalize.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/quant_type.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/quantization_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/_quantize_pt2e.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/quantize_fx.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/fuser_method_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/_learnable_fake_quantize.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/stubs.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/_correct_bias.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/qconfig_mapping.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization copying torch/ao/quantization/fake_quantize.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning copying torch/ao/pruning/_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning copying torch/ao/pruning/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse copying torch/ao/nn/sparse/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat copying torch/ao/nn/qat/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic copying torch/ao/nn/intrinsic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized copying torch/ao/nn/quantized/functional.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized copying torch/ao/nn/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable copying torch/ao/nn/quantizable/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized copying torch/ao/nn/sparse/quantized/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized copying torch/ao/nn/sparse/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized copying torch/ao/nn/sparse/quantized/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/dynamic copying torch/ao/nn/sparse/quantized/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/dynamic copying torch/ao/nn/sparse/quantized/dynamic/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/dynamic creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules copying torch/ao/nn/qat/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules copying torch/ao/nn/qat/modules/embedding_ops.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules copying torch/ao/nn/qat/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules copying torch/ao/nn/qat/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic copying torch/ao/nn/qat/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/modules copying torch/ao/nn/qat/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/modules copying torch/ao/nn/qat/dynamic/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat copying torch/ao/nn/intrinsic/qat/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/modules copying torch/ao/nn/intrinsic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/modules copying torch/ao/nn/intrinsic/modules/fused.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized copying torch/ao/nn/intrinsic/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules copying torch/ao/nn/intrinsic/qat/modules/conv_fused.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules copying torch/ao/nn/intrinsic/qat/modules/linear_fused.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules copying torch/ao/nn/intrinsic/qat/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules copying torch/ao/nn/intrinsic/qat/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules copying torch/ao/nn/intrinsic/quantized/modules/conv_add.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules copying torch/ao/nn/intrinsic/quantized/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules copying torch/ao/nn/intrinsic/quantized/modules/bn_relu.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules copying torch/ao/nn/intrinsic/quantized/modules/conv_relu.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules copying torch/ao/nn/intrinsic/quantized/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic copying torch/ao/nn/intrinsic/quantized/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/modules copying torch/ao/nn/intrinsic/quantized/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/modules copying torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/functional_modules.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/dropout.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/normalization.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/batchnorm.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/embedding_ops.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/activation.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules copying torch/ao/nn/quantized/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference copying torch/ao/nn/quantized/reference/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic copying torch/ao/nn/quantized/dynamic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/sparse.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules copying torch/ao/nn/quantized/reference/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules copying torch/ao/nn/quantized/dynamic/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules copying torch/ao/nn/quantized/dynamic/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules copying torch/ao/nn/quantized/dynamic/modules/conv.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules copying torch/ao/nn/quantized/dynamic/modules/linear.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules copying torch/ao/nn/quantizable/modules/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules copying torch/ao/nn/quantizable/modules/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules copying torch/ao/nn/quantizable/modules/activation.py -> build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules creating build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/graph_matcher.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/n_shadows_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/qconfig_multi_mapping.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/pattern_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/graph_passes.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/ns_types.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/mappings.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx copying torch/ao/ns/fx/weight_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx creating build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/custom_config.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/_equalize.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/fuse.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/_lower_to_native_backend.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/_decomposed.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/prepare.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/fuse_handler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/pattern_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/qconfig_mapping_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/graph_module.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/tracer.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/quantize_handler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/match_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/lower_to_qnnpack.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/convert.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx copying torch/ao/quantization/fx/lower_to_fbgemm.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx creating build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/_qnnpack_pt2e.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/native.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/fbgemm.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/observation_type.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/_common_operator_config_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/backend_config.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/tensorrt.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/qnnpack.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/x86.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/onednn.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config copying torch/ao/quantization/backend_config/executorch.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config creating build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_pt2e copying torch/ao/quantization/_pt2e/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_pt2e copying torch/ao/quantization/_pt2e/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_pt2e creating build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report copying torch/ao/quantization/fx/_model_report/model_report_observer.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report copying torch/ao/quantization/fx/_model_report/model_report.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report copying torch/ao/quantization/fx/_model_report/detector.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report copying torch/ao/quantization/fx/_model_report/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report copying torch/ao/quantization/fx/_model_report/model_report_visualizer.py -> build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier copying torch/ao/pruning/sparsifier/base_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier copying torch/ao/pruning/sparsifier/utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier copying torch/ao/pruning/sparsifier/nearly_diagonal_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier copying torch/ao/pruning/sparsifier/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier copying torch/ao/pruning/sparsifier/weight_norm_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler copying torch/ao/pruning/scheduler/lambda_scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler copying torch/ao/pruning/scheduler/base_scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler copying torch/ao/pruning/scheduler/cubic_scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler copying torch/ao/pruning/scheduler/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental copying torch/ao/pruning/_experimental/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier copying torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier copying torch/ao/pruning/_experimental/data_sparsifier/quantization_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier copying torch/ao/pruning/_experimental/data_sparsifier/data_norm_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier copying torch/ao/pruning/_experimental/data_sparsifier/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/activation_sparsifier copying torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/activation_sparsifier copying torch/ao/pruning/_experimental/activation_sparsifier/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/activation_sparsifier creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_scheduler copying torch/ao/pruning/_experimental/data_scheduler/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_scheduler copying torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_scheduler creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/saliency_pruner.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/base_structured_sparsifier.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/prune_functions.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/parametrization.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/lstm_saliency_pruner.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner copying torch/ao/pruning/_experimental/pruner/match_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning copying torch/ao/pruning/_experimental/data_sparsifier/lightning/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning creating build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/data_sparsity.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/_data_sparstity_utils.py -> build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks creating build/lib.linux-x86_64-cpython-310/torch/autograd/_functions copying torch/autograd/_functions/utils.py -> build/lib.linux-x86_64-cpython-310/torch/autograd/_functions copying torch/autograd/_functions/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/autograd/_functions copying torch/autograd/_functions/tensor.py -> build/lib.linux-x86_64-cpython-310/torch/autograd/_functions creating build/lib.linux-x86_64-cpython-310/torch/backends/mkldnn copying torch/backends/mkldnn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/mkldnn creating build/lib.linux-x86_64-cpython-310/torch/backends/opt_einsum copying torch/backends/opt_einsum/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/opt_einsum creating build/lib.linux-x86_64-cpython-310/torch/backends/xnnpack copying torch/backends/xnnpack/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/xnnpack creating build/lib.linux-x86_64-cpython-310/torch/backends/_coreml copying torch/backends/_coreml/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/_coreml copying torch/backends/_coreml/preprocess.py -> build/lib.linux-x86_64-cpython-310/torch/backends/_coreml creating build/lib.linux-x86_64-cpython-310/torch/backends/xeon copying torch/backends/xeon/run_cpu.py -> build/lib.linux-x86_64-cpython-310/torch/backends/xeon copying torch/backends/xeon/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/xeon creating build/lib.linux-x86_64-cpython-310/torch/backends/quantized copying torch/backends/quantized/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/quantized creating build/lib.linux-x86_64-cpython-310/torch/backends/mps copying torch/backends/mps/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/mps creating build/lib.linux-x86_64-cpython-310/torch/backends/openmp copying torch/backends/openmp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/openmp creating build/lib.linux-x86_64-cpython-310/torch/backends/cudnn copying torch/backends/cudnn/rnn.py -> build/lib.linux-x86_64-cpython-310/torch/backends/cudnn copying torch/backends/cudnn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/cudnn creating build/lib.linux-x86_64-cpython-310/torch/backends/cuda copying torch/backends/cuda/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/cuda creating build/lib.linux-x86_64-cpython-310/torch/backends/mkl copying torch/backends/mkl/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/mkl creating build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi copying torch/backends/_nnapi/prepare.py -> build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi copying torch/backends/_nnapi/serializer.py -> build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi copying torch/backends/_nnapi/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi creating build/lib.linux-x86_64-cpython-310/torch/optim/_multi_tensor copying torch/optim/_multi_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/optim/_multi_tensor creating build/lib.linux-x86_64-cpython-310/torch/jit/mobile copying torch/jit/mobile/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/jit/mobile creating build/lib.linux-x86_64-cpython-310/torch/jit/_passes copying torch/jit/_passes/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/jit/_passes copying torch/jit/_passes/_property_propagation.py -> build/lib.linux-x86_64-cpython-310/torch/jit/_passes creating build/lib.linux-x86_64-cpython-310/torch/utils/model_dump copying torch/utils/model_dump/__main__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump copying torch/utils/model_dump/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump creating build/lib.linux-x86_64-cpython-310/torch/utils/jit copying torch/utils/jit/log_extract.py -> build/lib.linux-x86_64-cpython-310/torch/utils/jit copying torch/utils/jit/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/jit creating build/lib.linux-x86_64-cpython-310/torch/utils/_sympy copying torch/utils/_sympy/value_ranges.py -> build/lib.linux-x86_64-cpython-310/torch/utils/_sympy copying torch/utils/_sympy/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/_sympy creating build/lib.linux-x86_64-cpython-310/torch/utils/benchmark copying torch/utils/benchmark/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark creating build/lib.linux-x86_64-cpython-310/torch/utils/backcompat copying torch/utils/backcompat/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/backcompat creating build/lib.linux-x86_64-cpython-310/torch/utils/bottleneck copying torch/utils/bottleneck/__main__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/bottleneck copying torch/utils/bottleneck/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/bottleneck creating build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/distributed.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/dataset.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/graph_settings.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/dataloader.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/graph.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/sampler.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data copying torch/utils/data/backward_compatibility.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data creating build/lib.linux-x86_64-cpython-310/torch/utils/hipify copying torch/utils/hipify/hipify_python.py -> build/lib.linux-x86_64-cpython-310/torch/utils/hipify copying torch/utils/hipify/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/hipify copying torch/utils/hipify/version.py -> build/lib.linux-x86_64-cpython-310/torch/utils/hipify copying torch/utils/hipify/cuda_to_hip_mappings.py -> build/lib.linux-x86_64-cpython-310/torch/utils/hipify copying torch/utils/hipify/constants.py -> build/lib.linux-x86_64-cpython-310/torch/utils/hipify creating build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_proto_graph.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_convert_np.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/summary.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_embedding.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_caffe2_graph.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/writer.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_pytorch_graph.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard copying torch/utils/tensorboard/_onnx_graph.py -> build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard creating build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/op_benchmark.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/blas_compare.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/simple_timeit.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/fuzzer.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/end_to_end.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/spectral_ops_fuzz_test.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/blas_compare_setup.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples copying torch/utils/benchmark/examples/compare.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples creating build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/sparse_fuzzer.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/timer.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/_stubs.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/fuzzer.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/cpp_jit.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/common.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/compare.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils creating build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/spectral.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/unary.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/sparse_unary.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/sparse_binary.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers copying torch/utils/benchmark/op_fuzzers/binary.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers creating build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/benchmark/utils/valgrind_wrapper/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper creating build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/_typing.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/datapipe.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/_hook_iterator.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/_decorator.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes copying torch/utils/data/datapipes/gen_pyi.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes creating build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/signal_handling.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/collate.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/serialization.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/fetch.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/worker.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils copying torch/utils/data/_utils/pin_memory.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils creating build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/utils.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/combining.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/combinatorics.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/grouping.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map copying torch/utils/data/datapipes/map/callable.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map creating build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils copying torch/utils/data/datapipes/utils/decoder.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils copying torch/utils/data/datapipes/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils copying torch/utils/data/datapipes/utils/common.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils copying torch/utils/data/datapipes/utils/snapshot.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils creating build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/sharding.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/utils.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/combining.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/routeddecoder.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/filelister.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/fileopener.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/streamreader.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/selecting.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/combinatorics.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/grouping.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter copying torch/utils/data/datapipes/iter/callable.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter creating build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe copying torch/utils/data/datapipes/dataframe/dataframes.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe copying torch/utils/data/datapipes/dataframe/dataframe_wrapper.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe copying torch/utils/data/datapipes/dataframe/structures.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe copying torch/utils/data/datapipes/dataframe/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe copying torch/utils/data/datapipes/dataframe/datapipes.py -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe creating build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/normalize.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/optimization.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/merge_matmul.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/symbolic_shapes.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/rewriter.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/graph_gradual_typechecker.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/debug.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/unify_refinements.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/partitioner_utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/proxy_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/schema_type_annotation.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/accelerator_partitioner.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/const_fold.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/meta_tracer.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental copying torch/fx/experimental/refinement_types.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental creating build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/graph_drawer.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/splitter_base.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/tools_common.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/split_utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/annotate_getitem_nodes.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/fake_tensor_prop.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/operator_support.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/param_fetch.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/reinplace.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/split_module.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/graph_manipulation.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/net_min_base.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/shape_prop.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes copying torch/fx/passes/pass_manager.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes creating build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/constraint_generator.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/constraint_transformation.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/z3_types.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/transform_to_z3.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/util.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/operation.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types copying torch/fx/experimental/migrate_gradual_types/constraint.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types creating build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/variable.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/match.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/more.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/core.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/unification_tools.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/dispatch.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification copying torch/fx/experimental/unification/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification creating build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/dispatcher.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/core.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/conflict.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch copying torch/fx/experimental/unification/multipledispatch/variadic.py -> build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect copying torch/fx/passes/dialect/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/backends copying torch/fx/passes/backends/cudagraphs.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/backends copying torch/fx/passes/backends/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/backends creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra copying torch/fx/passes/infra/partitioner.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra copying torch/fx/passes/infra/pass_base.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra copying torch/fx/passes/infra/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra copying torch/fx/passes/infra/pass_manager.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils copying torch/fx/passes/utils/matcher_utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils copying torch/fx/passes/utils/fuser_utils.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils copying torch/fx/passes/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils copying torch/fx/passes/utils/common.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/tests copying torch/fx/passes/tests/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/tests copying torch/fx/passes/tests/test_pass_manager.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/tests creating build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/common copying torch/fx/passes/dialect/common/cse_pass.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/common copying torch/fx/passes/dialect/common/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/common creating build/lib.linux-x86_64-cpython-310/torch/package/analyze copying torch/package/analyze/is_from_package.py -> build/lib.linux-x86_64-cpython-310/torch/package/analyze copying torch/package/analyze/trace_dependencies.py -> build/lib.linux-x86_64-cpython-310/torch/package/analyze copying torch/package/analyze/find_first_use_of_broken_modules.py -> build/lib.linux-x86_64-cpython-310/torch/package/analyze copying torch/package/analyze/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/package/analyze creating build/lib.linux-x86_64-cpython-310/torch/onnx/_internal copying torch/onnx/_internal/onnx_proto_utils.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal copying torch/onnx/_internal/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal copying torch/onnx/_internal/jit_utils.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal copying torch/onnx/_internal/registration.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal copying torch/onnx/_internal/_beartype.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal creating build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/diagnostics.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/context.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/exporter.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/options.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx copying torch/onnx/_internal/fx/function_dispatcher.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx creating build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics copying torch/onnx/_internal/diagnostics/_rules.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics copying torch/onnx/_internal/diagnostics/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics copying torch/onnx/_internal/diagnostics/_diagnostic.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics creating build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/_infra.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/utils.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/formatter.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/engine.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra copying torch/onnx/_internal/diagnostics/infra/decorator.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra creating build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_graph_traversal.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_message.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_artifact_change.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_version_control_details.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_external_properties.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_result.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_tool_component_reference.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_node.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_location.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_run.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_rectangle.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_run_automation_details.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_artifact_content.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_configuration_override.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_conversion.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_edge.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_sarif_log.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_exception.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_edge_traversal.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_result_provenance.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_suppression.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_reference.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_web_response.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_fix.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_special_locations.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_references.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_notification.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_replacement.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_invocation.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_web_request.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_graph.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_stack.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_tool.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_multiformat_message_string.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_code_flow.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/version.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_logical_location.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_reference.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_region.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_property_bag.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_translation_metadata.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_stack_frame.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow_location.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_artifact_location.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_tool_component.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_location_relationship.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_artifact.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_relationship.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_address.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_physical_location.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_attachment.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif copying torch/onnx/_internal/diagnostics/infra/sarif/_reporting_configuration.py -> build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_modules.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/logging_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/composite_compliance.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_fsdp.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_dist_composable.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_device_type.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_quantization.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_jit.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/check_kernel_launches.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_quantized.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_methods_invocations.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/autograd_function_db.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/inductor_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_distributed.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_subclass.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_pruning.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/quantization_torch_package_models.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/jit_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/autocast_test_lists.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_cuda.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_dtype.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/schema_check_mode.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/dist_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/hypothesis_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/jit_metaprogramming_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal copying torch/testing/_internal/common_nn.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/generated copying torch/testing/_internal/generated/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/generated copying torch/testing/_internal/generated/annotated_fn_args.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/generated creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/codegen copying torch/testing/_internal/codegen/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/codegen copying torch/testing/_internal/codegen/random_topo_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/codegen creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data copying torch/testing/_internal/data/network2.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data copying torch/testing/_internal/data/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data copying torch/testing/_internal/data/network1.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo copying torch/testing/_internal/opinfo/utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo copying torch/testing/_internal/opinfo/core.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo copying torch/testing/_internal/opinfo/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo copying torch/testing/_internal/opinfo/refs.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/distributed_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/distributed_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/pipe_with_ddp_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/rpc_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/multi_threaded_pg.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed copying torch/testing/_internal/distributed/checkpoint_utils.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module copying torch/testing/_internal/test_module/no_future_div.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module copying torch/testing/_internal/test_module/future_div.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module copying torch/testing/_internal/test_module/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/signal.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/linalg.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/_masked.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/special.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions copying torch/testing/_internal/opinfo/definitions/fft.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn copying torch/testing/_internal/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_tensor copying torch/testing/_internal/distributed/_tensor/common_dtensor.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_tensor copying torch/testing/_internal/distributed/_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_tensor creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/pipeline copying torch/testing/_internal/distributed/pipeline/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/pipeline creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard copying torch/testing/_internal/distributed/_shard/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard copying torch/testing/_internal/distributed/_shard/test_common.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/dist_optimizer_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/rpc_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/faulty_rpc_agent_test_fixture.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/faulty_agent_rpc_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/dist_autograd_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/rpc_agent_test_fixture.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc copying torch/testing/_internal/distributed/rpc/tensorpipe_rpc_agent_test_fixture.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/api copying torch/testing/_internal/distributed/nn/api/remote_module_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/api copying torch/testing/_internal/distributed/nn/api/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/api creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor copying torch/testing/_internal/distributed/_shard/sharded_tensor/_test_st_common.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor copying torch/testing/_internal/distributed/_shard/sharded_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor copying torch/testing/_internal/distributed/_shard/sharded_tensor/_test_ops_common.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples copying torch/testing/_internal/distributed/rpc/examples/parameter_server_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples copying torch/testing/_internal/distributed/rpc/examples/reinforcement_learning_rpc_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples copying torch/testing/_internal/distributed/rpc/examples/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples creating build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit copying torch/testing/_internal/distributed/rpc/jit/rpc_test_faulty.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit copying torch/testing/_internal/distributed/rpc/jit/rpc_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit copying torch/testing/_internal/distributed/rpc/jit/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit copying torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py -> build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit creating build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/utils.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/_equalize.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/fuse.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/fusion_patterns.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/prepare.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/quantization_types.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/pattern_utils.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/graph_module.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/quantization_patterns.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/match_utils.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx copying torch/quantization/fx/convert.py -> build/lib.linux-x86_64-cpython-310/torch/quantization/fx creating build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/planner_helpers.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/storage.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/_traverse.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/_sharded_tensor_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/planner.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/_nested_dict.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/filesystem.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/_dedup_tensors.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/metadata.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/default_planner.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/state_dict_saver.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/resharding.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/state_dict_loader.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint copying torch/distributed/checkpoint/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint creating build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/wrap.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_trace_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_fsdp_extensions.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_state_dict_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_limiter_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_traversal_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_unshard_param_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_init_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_shard_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_dynamo_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_common_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/fully_sharded_data_parallel.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_exec_order_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_runtime_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/sharded_grad_scaler.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/flat_param.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_wrap_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp copying torch/distributed/fsdp/_optim_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms copying torch/distributed/algorithms/join.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms copying torch/distributed/algorithms/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms creating build/lib.linux-x86_64-cpython-310/torch/distributed/nn copying torch/distributed/nn/functional.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn copying torch/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn creating build/lib.linux-x86_64-cpython-310/torch/distributed/launcher copying torch/distributed/launcher/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/launcher copying torch/distributed/launcher/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/launcher creating build/lib.linux-x86_64-cpython-310/torch/distributed/autograd copying torch/distributed/autograd/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/autograd creating build/lib.linux-x86_64-cpython-310/torch/distributed/_sharding_spec copying torch/distributed/_sharding_spec/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_sharding_spec creating build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/post_localSGD_optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_adam.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_sgd.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/zero_redundancy_optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_rprop.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/named_optimizer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_rmsprop.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_adamax.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/apply_optimizer_in_backward.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_adadelta.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_adagrad.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim copying torch/distributed/optim/functional_adamw.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/optim creating build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/checkpoint_activation.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/contract.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/_ddp.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/replicate.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable copying torch/distributed/_composable/fully_shard.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_composable creating build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/redistribute.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/placement_types.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/dispatch.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/op_schema.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/device_mesh.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/sharding_prop.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor copying torch/distributed/_tensor/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor creating build/lib.linux-x86_64-cpython-310/torch/distributed/tensor copying torch/distributed/tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor creating build/lib.linux-x86_64-cpython-310/torch/distributed/_sharded_tensor copying torch/distributed/_sharded_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_sharded_tensor creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic copying torch/distributed/elastic/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic creating build/lib.linux-x86_64-cpython-310/torch/distributed/_spmd copying torch/distributed/_spmd/comm_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_spmd copying torch/distributed/_spmd/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_spmd creating build/lib.linux-x86_64-cpython-310/torch/distributed/_tools copying torch/distributed/_tools/memory_tracker.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tools copying torch/distributed/_tools/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tools creating build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline copying torch/distributed/pipeline/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/partial_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/replicated_tensor.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/sharder.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/common_op_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/metadata.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/op_registry_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard copying torch/distributed/_shard/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard creating build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/backend_registry.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/internal.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/rref_proxy.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/options.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/functions.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/server_process_global_profiler.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc copying torch/distributed/rpc/constants.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_checkpoint copying torch/distributed/algorithms/_checkpoint/checkpoint_wrapper.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_checkpoint copying torch/distributed/algorithms/_checkpoint/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_checkpoint creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging copying torch/distributed/algorithms/model_averaging/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging copying torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging copying torch/distributed/algorithms/model_averaging/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging copying torch/distributed/algorithms/model_averaging/averagers.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_comm_hooks copying torch/distributed/algorithms/_comm_hooks/default_hooks.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_comm_hooks copying torch/distributed/algorithms/_comm_hooks/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_comm_hooks creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/ddp_zero_hook.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/optimizer_overlap_hooks.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks copying torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_quantization copying torch/distributed/algorithms/_quantization/quantization.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_quantization copying torch/distributed/algorithms/_quantization/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_quantization creating build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_optimizer_overlap copying torch/distributed/algorithms/_optimizer_overlap/optimizer_overlap.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_optimizer_overlap copying torch/distributed/algorithms/_optimizer_overlap/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_optimizer_overlap creating build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit copying torch/distributed/nn/jit/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit copying torch/distributed/nn/jit/instantiator.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit creating build/lib.linux-x86_64-cpython-310/torch/distributed/nn/api copying torch/distributed/nn/api/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/api copying torch/distributed/nn/api/remote_module.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/api creating build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/templates copying torch/distributed/nn/jit/templates/remote_module_template.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/templates copying torch/distributed/nn/jit/templates/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/templates creating build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/matrix_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/math_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/pointwise_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/view_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/tensor_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops copying torch/distributed/_tensor/ops/common_rules.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops creating build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/_view_with_dim_change.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/multihead_attention_tp.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/_utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/style.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel copying torch/distributed/tensor/parallel/fsdp.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent copying torch/distributed/elastic/agent/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/metrics copying torch/distributed/elastic/metrics/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/metrics copying torch/distributed/elastic/metrics/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/metrics creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events copying torch/distributed/elastic/events/handlers.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events copying torch/distributed/elastic/events/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events copying torch/distributed/elastic/events/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/logging.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/distributed.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/log_level.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/store.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils copying torch/distributed/elastic/utils/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing copying torch/distributed/elastic/multiprocessing/tail_log.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing copying torch/distributed/elastic/multiprocessing/redirects.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing copying torch/distributed/elastic/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing copying torch/distributed/elastic/multiprocessing/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer copying torch/distributed/elastic/timer/local_timer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer copying torch/distributed/elastic/timer/file_based_local_timer.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer copying torch/distributed/elastic/timer/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer copying torch/distributed/elastic/timer/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/etcd_server.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/registry.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/etcd_rendezvous_backend.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/etcd_store.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/dynamic_rendezvous.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous copying torch/distributed/elastic/rendezvous/etcd_rendezvous.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server copying torch/distributed/elastic/agent/server/local_elastic_agent.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server copying torch/distributed/elastic/agent/server/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server copying torch/distributed/elastic/agent/server/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data copying torch/distributed/elastic/utils/data/cycling_iterator.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data copying torch/distributed/elastic/utils/data/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data copying torch/distributed/elastic/utils/data/elastic_distributed_sampler.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data creating build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors copying torch/distributed/elastic/multiprocessing/errors/handlers.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors copying torch/distributed/elastic/multiprocessing/errors/error_handler.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors copying torch/distributed/elastic/multiprocessing/errors/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors creating build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/pipe.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/microbatch.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/checkpoint.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/pipeline.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/stream.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/phony.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/copy.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/dependency.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/batchnorm.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync copying torch/distributed/pipeline/sync/worker.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync creating build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/tracker.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/skippable.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/namespace.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/portal.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip copying torch/distributed/pipeline/sync/skip/layout.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip creating build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance copying torch/distributed/pipeline/sync/_balance/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance copying torch/distributed/pipeline/sync/_balance/blockpartition.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance copying torch/distributed/pipeline/sync/_balance/profile.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/checkpoint copying torch/distributed/_shard/checkpoint/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/checkpoint creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/reshard.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/utils.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/metadata.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor copying torch/distributed/_shard/sharded_tensor/shard.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec copying torch/distributed/_shard/sharding_spec/_internals.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec copying torch/distributed/_shard/sharding_spec/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec copying torch/distributed/_shard/sharding_spec/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_plan copying torch/distributed/_shard/sharding_plan/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_plan copying torch/distributed/_shard/sharding_plan/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_plan creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_optim copying torch/distributed/_shard/sharded_optim/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_optim copying torch/distributed/_shard/sharded_optim/api.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_optim creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/_common.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/init.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/matrix_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/math_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/binary_cmp.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/chunk.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/misc_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/tensor_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops copying torch/distributed/_shard/sharded_tensor/_ops/elementwise_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops creating build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/_common.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/matrix_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/math_ops.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding_bag.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/softmax.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/linear.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops creating build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_testing copying torch/distributed/rpc/_testing/faulty_agent_backend_registry.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_testing copying torch/distributed/rpc/_testing/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_testing creating build/lib.linux-x86_64-cpython-310/torch/cuda/amp copying torch/cuda/amp/grad_scaler.py -> build/lib.linux-x86_64-cpython-310/torch/cuda/amp copying torch/cuda/amp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/cuda/amp copying torch/cuda/amp/common.py -> build/lib.linux-x86_64-cpython-310/torch/cuda/amp copying torch/cuda/amp/autocast_mode.py -> build/lib.linux-x86_64-cpython-310/torch/cuda/amp creating build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/distributed.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/torchxla.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/cudagraphs.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/nvfuser.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/inductor.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/tensorrt.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/registry.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/common.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/onnxrt.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/debugging.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/ipex.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends copying torch/_dynamo/backends/tvm.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends creating build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/base.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/builtin.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/user_defined.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/torch.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/builder.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/constant.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/lists.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/functions.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/nn_module.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/misc.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/tensor.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables copying torch/_dynamo/variables/dicts.py -> build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables creating build/lib.linux-x86_64-cpython-310/torch/signal/windows copying torch/signal/windows/windows.py -> build/lib.linux-x86_64-cpython-310/torch/signal/windows copying torch/signal/windows/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/signal/windows creating build/lib.linux-x86_64-cpython-310/torch/cpu/amp copying torch/cpu/amp/__init__.py -> build/lib.linux-x86_64-cpython-310/torch/cpu/amp copying torch/cpu/amp/autocast_mode.py -> build/lib.linux-x86_64-cpython-310/torch/cpu/amp creating build/lib.linux-x86_64-cpython-310/torchgen/selective_build copying torchgen/selective_build/selector.py -> build/lib.linux-x86_64-cpython-310/torchgen/selective_build copying torchgen/selective_build/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/selective_build copying torchgen/selective_build/operator.py -> build/lib.linux-x86_64-cpython-310/torchgen/selective_build creating build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/lazy_ts_lowering.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/ufunc.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/native_functions.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/register_dispatch_key.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest copying torchgen/dest/lazy_ir.py -> build/lib.linux-x86_64-cpython-310/torchgen/dest creating build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/structured.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/dispatcher.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/functionalization.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/native.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/ufunc.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/cpp.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/autograd.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/unboxing.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/translate.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/python.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/lazy.py -> build/lib.linux-x86_64-cpython-310/torchgen/api copying torchgen/api/meta.py -> build/lib.linux-x86_64-cpython-310/torchgen/api creating build/lib.linux-x86_64-cpython-310/torchgen/operator_versions copying torchgen/operator_versions/gen_mobile_upgraders_constant.py -> build/lib.linux-x86_64-cpython-310/torchgen/operator_versions copying torchgen/operator_versions/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/operator_versions copying torchgen/operator_versions/gen_mobile_upgraders.py -> build/lib.linux-x86_64-cpython-310/torchgen/operator_versions creating build/lib.linux-x86_64-cpython-310/torchgen/static_runtime copying torchgen/static_runtime/gen_static_runtime_ops.py -> build/lib.linux-x86_64-cpython-310/torchgen/static_runtime copying torchgen/static_runtime/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/static_runtime copying torchgen/static_runtime/generator.py -> build/lib.linux-x86_64-cpython-310/torchgen/static_runtime copying torchgen/static_runtime/config.py -> build/lib.linux-x86_64-cpython-310/torchgen/static_runtime creating build/lib.linux-x86_64-cpython-310/torchgen/executorch copying torchgen/executorch/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch creating build/lib.linux-x86_64-cpython-310/torchgen/api/types copying torchgen/api/types/types.py -> build/lib.linux-x86_64-cpython-310/torchgen/api/types copying torchgen/api/types/types_base.py -> build/lib.linux-x86_64-cpython-310/torchgen/api/types copying torchgen/api/types/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/api/types copying torchgen/api/types/signatures.py -> build/lib.linux-x86_64-cpython-310/torchgen/api/types creating build/lib.linux-x86_64-cpython-310/torchgen/executorch/api copying torchgen/executorch/api/et_cpp.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api copying torchgen/executorch/api/unboxing.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api copying torchgen/executorch/api/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api copying torchgen/executorch/api/custom_ops.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api creating build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types copying torchgen/executorch/api/types/types.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types copying torchgen/executorch/api/types/__init__.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types copying torchgen/executorch/api/types/signatures.py -> build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types creating build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/wrap_type.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/op_properties.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/reference.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/magic_trace.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/dim.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/delayed_mul_tensor.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/tree_map.py -> build/lib.linux-x86_64-cpython-310/functorch/dim copying functorch/dim/batch_tensor.py -> build/lib.linux-x86_64-cpython-310/functorch/dim creating build/lib.linux-x86_64-cpython-310/functorch/experimental copying functorch/experimental/_map.py -> build/lib.linux-x86_64-cpython-310/functorch/experimental copying functorch/experimental/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/experimental copying functorch/experimental/_cond.py -> build/lib.linux-x86_64-cpython-310/functorch/experimental copying functorch/experimental/ops.py -> build/lib.linux-x86_64-cpython-310/functorch/experimental copying functorch/experimental/control_flow.py -> build/lib.linux-x86_64-cpython-310/functorch/experimental creating build/lib.linux-x86_64-cpython-310/functorch/_src copying functorch/_src/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/_src creating build/lib.linux-x86_64-cpython-310/functorch/compile copying functorch/compile/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/compile creating build/lib.linux-x86_64-cpython-310/functorch/_src/vmap copying functorch/_src/vmap/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/_src/vmap creating build/lib.linux-x86_64-cpython-310/functorch/_src/make_functional copying functorch/_src/make_functional/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/_src/make_functional creating build/lib.linux-x86_64-cpython-310/functorch/_src/aot_autograd copying functorch/_src/aot_autograd/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/_src/aot_autograd creating build/lib.linux-x86_64-cpython-310/functorch/_src/eager_transforms copying functorch/_src/eager_transforms/__init__.py -> build/lib.linux-x86_64-cpython-310/functorch/_src/eager_transforms copying torch/py.typed -> build/lib.linux-x86_64-cpython-310/torch creating build/lib.linux-x86_64-cpython-310/torch/bin copying torch/bin/protoc-3.13.0.0 -> build/lib.linux-x86_64-cpython-310/torch/bin copying torch/bin/protoc -> build/lib.linux-x86_64-cpython-310/torch/bin copying torch/bin/torch_shm_manager -> build/lib.linux-x86_64-cpython-310/torch/bin creating build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_distributed_autograd.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_functorch.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_nvtx.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_itt.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_autograd.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_monitor.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_lazy_ts_backend.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_distributed_rpc_testing.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_lazy.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_distributed_c10d.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_functions.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_onnx.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_profiler.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_cudnn.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_distributed_rpc.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_verbose.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/__init__.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_VariableFunctions.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C copying torch/_C/_nn.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C creating build/lib.linux-x86_64-cpython-310/torch/_C_flatbuffer copying torch/_C_flatbuffer/__init__.pyi -> build/lib.linux-x86_64-cpython-310/torch/_C_flatbuffer copying torch/optim/asgd.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/lr_scheduler.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/__init__.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/radam.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/rmsprop.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/lbfgs.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adadelta.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adamax.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adagrad.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/sparse_adam.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/optimizer.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adamw.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/adam.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/rprop.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/sgd.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/nadam.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/optim/swa_utils.pyi -> build/lib.linux-x86_64-cpython-310/torch/optim copying torch/nn/parameter.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/functional.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn copying torch/nn/parallel/parallel_apply.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/__init__.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/replicate.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/scatter_gather.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/data_parallel.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/nn/parallel/common_types.pyi -> build/lib.linux-x86_64-cpython-310/torch/nn/parallel copying torch/utils/data/datapipes/datapipe.pyi -> build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes creating build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libc10_cuda.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libc10.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libcaffe2_nvrtc.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_cuda_linalg.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libshm.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_python.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_cpu.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_cuda.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_global_deps.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libnvfuser_codegen.so -> build/lib.linux-x86_64-cpython-310/torch/lib creating build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/pthreadpool.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/fxdiv.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/cpuinfo.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/clog.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/qnnpack.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/psimd.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/fp16.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/qnnpack_func.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/nnpack.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/xnnpack.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_config.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_debug.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_ocl.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_sycl.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_sycl_types.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_threadpool.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_types.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/dnnl_version.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/sleef.h -> build/lib.linux-x86_64-cpython-310/torch/include copying torch/include/libshm.h -> build/lib.linux-x86_64-cpython-310/torch/include creating build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ATen.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/AccumulateType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ArrayRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Backend.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Backtrace.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CPUApplyUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CPUFixedAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CPUGeneratorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CollapseDims.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Config.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Context.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/DLConvertor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Device.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/DeviceGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/DimVector.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Dimname.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/DynamicLibrary.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/EmptyTensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ExpandBase.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ExpandUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Formatting.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/FuncTorchTLS.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/FunctionalStorageImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/FunctionalTensorWrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Generator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/InferSize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/InitialTensorOptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Layout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/LegacyBatchedFallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/LegacyBatchedTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/LegacyVmapMode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/LegacyVmapTransforms.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/LinalgBackend.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MapAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MatrixRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MemoryOverlap.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NamedTensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NamedTensorUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NestedTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NumericUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/OpMathType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/OpaqueTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/PTThreadPool.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/PadNd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Parallel-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Parallel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ParallelFuture.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ParallelNative.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ParallelNativeTBB.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ParallelOpenMP.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/PythonTorchFunctionTLS.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SavedTensorHooks.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Scalar.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ScalarOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ScalarType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SequenceNumber.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SmallVector.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SparseCsrTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SparseCsrTensorUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SparseTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/SparseTensorUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Storage.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorAccessor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorGeometry.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorIndexing.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorIterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorIteratorInternal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorMeta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorNames.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorOperators.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorOptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorSubclassLikeUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TensorUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ThreadLocalPythonObjects.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ThreadLocalState.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TracerMode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/TypeDefault.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Version.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/WrapDimUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/WrapDimUtilsMulti.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/autocast_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/ceil_div.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/code_template.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/cpp_custom_type_hack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/div_rtn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/dlpack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/jit_macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/jiterator_macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/record_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CPUFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CPUFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeExplicitAutogradFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeExplicitAutogradFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeImplicitAutogradFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeImplicitAutogradFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MetaFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MetaFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/MethodOperators.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NativeFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/NativeMetaFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/Operators.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/RedispatchFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/RegistrationDeclarations.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/VmapGeneratedPlumbing.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CUDAFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen copying torch/include/ATen/CUDAFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu copying torch/include/ATen/cpu/FlushDenormal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu copying torch/include/ATen/cpu/vml.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/missing_vld1_neon.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/missing_vst1_neon.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_bfloat16.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_complex_double.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_complex_float.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_double.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_float.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_float_neon.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_int.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 copying torch/include/ATen/cpu/vec/vec256/vec256_qint.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256 creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_bfloat16_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_common_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_double_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_float_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_double_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_float_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_int16_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_int32_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_int64_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint32_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint8_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vec256_quint8_vsx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx copying torch/include/ATen/cpu/vec/vec256/vsx/vsx_helpers.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_bfloat16.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_complex_double.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_complex_float.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_double.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_float.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_int.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/vec512/vec512_qint.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512 copying torch/include/ATen/cpu/vec/functional.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec copying torch/include/ATen/cpu/vec/functional_base.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec copying torch/include/ATen/cpu/vec/functional_bfloat16.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec copying torch/include/ATen/cpu/vec/intrinsics.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec copying torch/include/ATen/cpu/vec/vec.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec copying torch/include/ATen/cpu/vec/vec_base.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ATenGeneral.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ATenOpList.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ATen_fwd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ATen_pch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Array.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Backtrace.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/CheckMemoryFormat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/DeprecatedTypeProperties.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/DeprecatedTypePropertiesRegistry.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Dict.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Dict_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/DimVector.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Dimname.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/DistributionsHelper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Formatting.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Generator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/IListRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/IListRef_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/LegacyTypeDispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/List.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/List_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/MT19937RNGEngine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/NamedTensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/PhiloxRNGEngine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/PythonFallbackKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/PythonOpRegistrationTrampoline.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/QuantizerBase.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Range.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Reduction.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Scalar.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ScalarType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/TensorAccessor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/TensorBase.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/TorchDispatchUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/TransformationHelper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/UndefinedTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/UnsafeFromTH.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/VariableHooksInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Variadic.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/Vitals.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/alias_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/blob.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/builtin_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/class_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/custom_class.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/dynamic_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/enum_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/function.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/function_schema.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/function_schema_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/functional.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/grad_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/interned_strings.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/interned_strings_class.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ivalue.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ivalue_inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/ivalue_to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/jit_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/jit_type_base.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/operator_name.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/qualified_name.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/rref_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/symbol.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/type_factory.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/type_ptr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/typeid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/TensorBody.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/aten_interned_strings.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core copying torch/include/ATen/core/enum_tag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/ApplyGridUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/AsmUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/Atomic.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAApplyUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAGraphsUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDATensorMethods.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/DeviceUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/NumericLimits.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/ScanUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/cub.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/cub_definitions.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/ATenCUDAGeneral.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDABlas.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAConfig.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAContext.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDADataType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDADevice.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAEvent.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAGeneratorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAGraph.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDASparse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDASparseBlas.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDASparseDescriptors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CUDAUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/CachingHostAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/EmptyTensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/Exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/PeerToPeerAccess.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/PinnedMemoryAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/Sleep.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/ThrustAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/cub.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/jiterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/jiterator_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda copying torch/include/ATen/cuda/llvm_jit_strings.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/IndexUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/IntegerDivider.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/OffsetCalculator.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/PhiloxCudaStateRaw.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/TensorInfo.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/UnpackRaw.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/CUDAHooks.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/DeviceThreadHandles.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/KernelUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail copying torch/include/ATen/cuda/detail/LazyNVRTC.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Descriptors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Handle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Handles.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Types.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/Utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn copying torch/include/ATen/cudnn/cudnn-wrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/ADInterpreters.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/BatchRulesHelper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/BatchedFallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/BatchedTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/BatchingMetaprogramming.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/DynamicLayer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/FunctionalizeInterpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/Interpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/LegacyVmapTransforms.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/Macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/PlumbingHelper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/TensorWrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch copying torch/include/ATen/functorch/VmapInterpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_blob.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_adaptive_avg_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_batch_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_batch_dim_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_batch_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_batch_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_add_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_addmm_activation_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_aminmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_amp_update_scale_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_async.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_async_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_async_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_async_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_async_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_tensor_metadata.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_tensor_metadata_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_tensor_metadata_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_assert_tensor_metadata_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_full_precision.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_full_precision_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_full_precision_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_full_precision_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_reduced_precision.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_reduced_precision_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_reduced_precision_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_autocast_to_reduced_precision_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_batch_norm_impl_index_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Byte.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Byte_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Byte_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Byte_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Char.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Char_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Char_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Char_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Double.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Double_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Double_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Double_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Float.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Float_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Float_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Float_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Half.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Half_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Half_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Half_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Int.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Int_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Int_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Int_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Long.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Long_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Long_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Long_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Short.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Short_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Short_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cast_Short_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cdist_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cholesky_solve_helper_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_choose_qparams_per_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_choose_qparams_per_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_choose_qparams_per_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_choose_qparams_per_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesce_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesced.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesced_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesced_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesced_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_coalesced_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_compute_linear_combination.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_compute_linear_combination_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_compute_linear_combination_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_compute_linear_combination_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_compute_linear_combination_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_physical.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_physical_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_physical_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conj_physical_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conv_depthwise2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conv_depthwise2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conv_depthwise2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_conv_depthwise2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_coo_to_csr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convert_indices_from_csr_to_coo_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_double_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_double_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_double_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_double_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_mode_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_mode_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_mode_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_and_resize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_and_resize_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_and_resize_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_and_resize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_copy_from_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_ctc_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_ctc_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_ctc_loss_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_ctc_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_ctc_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_ctc_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_init_dropout_state.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_init_dropout_state_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_init_dropout_state_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_init_dropout_state_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_init_dropout_state_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_flatten_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_flatten_weight_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_flatten_weight_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_flatten_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_flatten_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cudnn_rnn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_clear_plan_cache.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_clear_plan_cache_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_clear_plan_cache_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_clear_plan_cache_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_max_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_max_size_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_max_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_max_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_size_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_get_plan_cache_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_set_plan_cache_max_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_set_plan_cache_max_size_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_set_plan_cache_max_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cufft_set_plan_cache_max_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummax_helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummax_helper_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummax_helper_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummax_helper_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummax_helper_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummin_helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummin_helper_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummin_helper_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummin_helper_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_cummin_helper_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_debug_has_internal_overlap.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_debug_has_internal_overlap_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_debug_has_internal_overlap_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_debug_has_internal_overlap_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimI.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimI_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimI_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimV.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimV_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dimV_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dim_arange.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dim_arange_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dim_arange_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dim_arange_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_dirichlet_grad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficient_attention_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_efficientzerotensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_dense_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_forward_only_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_affine_quantized.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_sparse_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_sparse_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_sparse_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_embedding_bag_sparse_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_affine_quantized_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_affine_quantized_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_affine_quantized_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_affine_quantized_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_per_channel_affine_quantized.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_per_channel_affine_quantized_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_per_channel_affine_quantized_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_per_channel_affine_quantized_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_empty_per_channel_affine_quantized_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_euclidean_dist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_euclidean_dist_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_euclidean_dist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_euclidean_dist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2c.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2c_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2c_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2c_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2c_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2r.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2r_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2r_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2r_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_c2r_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_r2c.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_r2c_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_r2c_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_r2c_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fft_r2c_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_flash_attention_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foobar.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foobar_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foobar_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foobar_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foobar_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_abs_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_acos_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_add_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcdiv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_addcmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_asin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_atan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_ceil_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_max_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_clamp_min_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cos_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_cosh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_div_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_erfc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_exp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_expm1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_floor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_frac_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lerp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_lgamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log10_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log1p_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_log_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_maximum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_minimum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_mul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ger_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_neg_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_reciprocal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_round_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sigmoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sinh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sqrt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_sub_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_tanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_trunc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_foreach_zero_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adam.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adam_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adam_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adam_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adam_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adamw.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adamw_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adamw_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adamw_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_adamw_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_dropout_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_dropout_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fused_sdp_choice_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_fw_primal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_gather_sparse_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_gather_sparse_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_gather_sparse_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_gather_sparse_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_compatible_shallow_copy_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_compatible_shallow_copy_type_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_compatible_shallow_copy_type_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_compatible_shallow_copy_type_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_same_storage_numel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_same_storage_numel_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_same_storage_numel_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_has_same_storage_numel_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_bin_edges.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_bin_edges_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_bin_edges_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_bin_edges_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_bin_edges_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_cts.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_cts_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_cts_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_cts_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_cts_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_tensors_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_tensors_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_histogramdd_from_bin_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_index_put_impl_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_all_true.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_all_true_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_all_true_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_all_true_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_any_true.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_any_true_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_any_true_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_any_true_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_zerotensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_zerotensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_zerotensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_is_zerotensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_check_errors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_check_errors_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_check_errors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_check_errors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_det_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_eigh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_slogdet_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_solve_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_linalg_svd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_local_scalar_dense.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_local_scalar_dense_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_local_scalar_dense_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_local_scalar_dense_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_local_scalar_dense_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_backward_data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_log_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_logcumsumexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_logcumsumexp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_logcumsumexp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_logcumsumexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_logcumsumexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lstm_mps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lstm_mps_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lstm_mps_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lstm_mps_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lu_with_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lu_with_info_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lu_with_info_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_lu_with_info_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_dual_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_channel_quantized_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_make_per_tensor_quantized_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_scale.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_scale_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_scale_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_scale_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_scale_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_masked_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_reshape.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_reshape_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_reshape_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_reshape_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_transpose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_transpose_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_transpose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mkldnn_transpose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_transpose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_transpose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_mps_convolution_transpose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_batch_norm_legit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_decoder_only_multi_head_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_native_multi_head_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_neg_view_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_and_nested_example.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_and_nested_example_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_and_nested_example_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_and_nested_example_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_from_padded_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_select_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_select_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_select_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_sum_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_sum_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_sum_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_mask_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_tensor_list.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_tensor_list_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_tensor_list_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_from_tensor_list_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_offsets.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_offsets_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_offsets_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_size_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_softmax_with_shape.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_softmax_with_shape_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_softmax_with_shape_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_strides.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_strides_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_strides_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_tensor_strides_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nested_view_from_buffer_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_new_zeros_with_same_feature_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_new_zeros_with_same_feature_meta_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_new_zeros_with_same_feature_meta_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_new_zeros_with_same_feature_meta_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_available.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_available_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_available_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_available_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_spatial_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_spatial_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_spatial_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnpack_spatial_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnz.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnz_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_nnz_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pack_padded_sequence_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_circular.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_circular_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_circular_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_circular_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_enum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_enum_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_enum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_enum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_packed_sequence.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_packed_sequence_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_packed_sequence_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pad_packed_sequence_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pdist_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pin_memory.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pin_memory_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pin_memory_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pin_memory_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_pin_memory_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_prelu_kernel_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_remove_batch_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_remove_batch_dim_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_remove_batch_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_remove_batch_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_alias_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_from_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_from_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_from_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_reshape_from_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_resize_output.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_resize_output_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_resize_output_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_resize_output_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_resize_output_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_rowwise_prune.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_rowwise_prune_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_rowwise_prune_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_rowwise_prune_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sample_dirichlet_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_saturate_weight_to_fp16.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_saturate_weight_to_fp16_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_saturate_weight_to_fp16_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_saturate_weight_to_fp16_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_math.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_math_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_math_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_math_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_warn_in_autograd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_efficient_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_scaled_dot_product_flash_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_segment_reduce_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_shape_as_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_shape_as_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_shape_as_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_shape_as_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_slow_conv2d_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_draw.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_draw_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_draw_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_draw_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_ff.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_ff_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_ff_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_ff_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_initialize_state.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_initialize_state_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_initialize_state_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_initialize_state_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_scramble.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_scramble_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_scramble_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sobol_engine_scramble_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_backward_data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_addmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_addmm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_addmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_addmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_string_default_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_broadcast_to_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsr_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_compressed_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_coo_tensor_with_dims_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csc_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csc_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csc_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csc_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_prod.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_prod_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_prod_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_prod_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_sum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_sum_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_sum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_sum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_tensor_unsafe.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_tensor_unsafe_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_tensor_unsafe_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_csr_tensor_unsafe_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_backward_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_backward_data_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_backward_data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_backward_data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_log_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_mm_reduce_impl_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_backward_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_backward_data_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_backward_data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_backward_data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sparse_matmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sparse_matmul_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sparse_matmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sparse_matmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_sparse_sum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_spdiags.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_spdiags_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_spdiags_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_spdiags_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_spdiags_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_stack_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_stack_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_stack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_stack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_grad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_standard_gamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_ambiguous_defaults.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_ambiguous_defaults_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_ambiguous_defaults_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_ambiguous_defaults_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_check_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_check_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_check_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_check_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_filled_intlist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_filled_intlist_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_filled_intlist_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_filled_intlist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_filled_intlist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_floatlist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_floatlist_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_floatlist_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_floatlist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_floatlist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_intlist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_intlist_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_intlist_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_intlist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_optional_intlist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_serialization_subcmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_serialization_subcmul_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_serialization_subcmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_serialization_subcmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_string_default.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_string_default_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_string_default_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_warn_in_autograd_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_warn_in_autograd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_test_warn_in_autograd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_gru_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_thnn_fused_lstm_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_cpu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_cpu_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_cpu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_cpu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_dense.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_dense_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_dense_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_to_dense_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transform_bias_rescale_qkv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_transformer_encoder_layer_fwd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_trilinear.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_trilinear_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_trilinear_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_trilinear_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_trilinear_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_multi_head_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_multi_head_attention_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_multi_head_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_multi_head_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_multi_head_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_scaled_dot_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_scaled_dot_attention_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_scaled_dot_attention_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_scaled_dot_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_triton_scaled_dot_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unique_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unpack_dual.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unpack_dual_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unpack_dual_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unpack_dual_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unsafe_view.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unsafe_view_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unsafe_view_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_unsafe_view_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bicubic2d_aa_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_bilinear2d_aa_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_upsample_nearest_exact3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_ctc_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_ctc_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_ctc_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_ctc_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_compressed_sparse_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_compressed_sparse_indices_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_compressed_sparse_indices_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_compressed_sparse_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_compressed_sparse_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsc_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsr_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_compressed_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_coo_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_coo_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_coo_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_coo_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csc_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csc_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csc_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csc_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csr_tensor_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csr_tensor_args_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csr_tensor_args_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_validate_sparse_csr_tensor_args_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_values_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_version.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_version_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_version_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_version_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_differentiable_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_differentiable_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_differentiable_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_differentiable_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_interface_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/_weight_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/abs_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/absolute.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/absolute_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/absolute_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/absolute_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acos_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/acosh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_avg_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adaptive_max_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/add_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addbmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcdiv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addcmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addmv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/addr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adjoint.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adjoint_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adjoint_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/adjoint_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/affine_grid_generator_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alias_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_as_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_tensors_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_to_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_to_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/align_to_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/all_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/allclose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/allclose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/allclose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/allclose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alpha_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alpha_dropout_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alpha_dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/alpha_dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/amin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/aminmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/and.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/and_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/and_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/and_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/angle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/angle_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/angle_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/angle_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/angle_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/any_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arange_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccos.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccos_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccos_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccos_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccosh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccosh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccosh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arccosh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsin_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsinh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsinh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsinh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arcsinh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctanh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/arctanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argmin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argsort_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argwhere.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argwhere_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argwhere_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/argwhere_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_scatter_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/as_strided_scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/asinh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/atleast_3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/avg_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/baddbmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bartlett_window.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bartlett_window_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bartlett_window_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bartlett_window_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_elemt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_elemt_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_elemt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_elemt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_elemt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_reduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_reduce_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_reduce_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_reduce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_backward_reduce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_elemt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_elemt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_elemt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_elemt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_with_counts.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_with_counts_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_with_counts_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_with_counts_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_gather_stats_with_counts_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_stats.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_stats_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_stats_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_stats_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_stats_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/batch_norm_update_stats_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bernoulli_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bilinear.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bilinear_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bilinear_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bilinear_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_with_logits.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_with_logits_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_with_logits_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binary_cross_entropy_with_logits_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bincount_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/binomial_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_and_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_left_shift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_not_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_or_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_right_shift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagflat_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bitwise_xor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/blackman_window.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/blackman_window_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/blackman_window_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/blackman_window_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/block_diag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/block_diag_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/block_diag_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/block_diag_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_tensors_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_to_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_to_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/broadcast_to_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/bucketize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/can_cast.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/can_cast_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/can_cast_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/can_cast_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cartesian_prod.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cartesian_prod_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cartesian_prod_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cartesian_prod_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cat_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cauchy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ccol_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cdist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cdist_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cdist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cdist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ceil_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/celu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/celu_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/celu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/celu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chain_matmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chain_matmul_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chain_matmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chain_matmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chalf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chalf_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chalf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chalf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/channel_shuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/channel_shuffle_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/channel_shuffle_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/channel_shuffle_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/channel_shuffle_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_inverse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_inverse_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_inverse_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_inverse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_inverse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_solve_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cholesky_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/choose_qparams_optimized.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/choose_qparams_optimized_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/choose_qparams_optimized_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/choose_qparams_optimized_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chunk.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chunk_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chunk_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/chunk_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_max_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_min_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clamp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clip.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clip_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clip_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clip_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clone.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clone_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clone_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/clone_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/coalesce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/coalesce_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/coalesce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/coalesce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col2im.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col2im_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col2im_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col2im_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col2im_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/col_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/column_stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/column_stack_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/column_stack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/column_stack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/combinations.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/combinations_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/combinations_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/combinations_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/complex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concat_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concat_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concat_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concatenate.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concatenate_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concatenate_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/concatenate_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conj_physical_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/constant_pad_nd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/constant_pad_nd_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/constant_pad_nd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/constant_pad_nd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/contiguous.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/contiguous_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/contiguous_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/contiguous_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_depthwise3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_depthwise3d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_depthwise3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_depthwise3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_depthwise3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_tbc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/conv_transpose3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_overrideable.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_overrideable_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_overrideable_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_backward_overrideable_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_overrideable.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_overrideable_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_overrideable_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/convolution_overrideable_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_sparse_to_sparse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_sparse_to_sparse_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_sparse_to_sparse_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_sparse_to_sparse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copy_sparse_to_sparse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/copysign_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/corrcoef.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/corrcoef_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/corrcoef_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/corrcoef_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cos_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_transpose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_embedding_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_embedding_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_embedding_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_embedding_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_similarity.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_similarity_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_similarity_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cosine_similarity_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/count_nonzero_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cov.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cov_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cov_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cov_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_entropy_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_entropy_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_entropy_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_entropy_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cross_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/crow_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ctc_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ctc_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ctc_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ctc_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_affine_grid_generator_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_batch_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_add_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_add_relu_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_add_relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_add_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_add_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_relu_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_transpose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_transpose_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_convolution_transpose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_grid_sampler_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_is_acceptable.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_is_acceptable_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_is_acceptable_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cudnn_is_acceptable_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummaxmin_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummaxmin_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummaxmin_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummaxmin_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummin_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummin_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cummin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumprod_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumsum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumulative_trapezoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumulative_trapezoid_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumulative_trapezoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/cumulative_trapezoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/data_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/deg2rad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/deg2rad_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/deg2rad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/deg2rad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dense_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dense_dim_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dense_dim_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dense_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dense_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dequantize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/det.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/det_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/det_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/det_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/detach_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_embed.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_embed_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_embed_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_embed_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_embed_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diag_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagflat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagflat_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagflat_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_scatter_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diagonal_scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diff.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diff_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diff_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/diff_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/digamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dist_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/div_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/divide.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/divide_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/divide_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/divide_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dropout_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dsplit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dsplit_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dsplit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dsplit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dstack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dstack_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dstack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/dstack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/einsum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/einsum_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/einsum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/einsum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/elu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_bag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_bag_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_bag_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_bag_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_dense_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_renorm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_sparse_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_sparse_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_sparse_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/embedding_sparse_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_quantized.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_quantized_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_quantized_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_quantized_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/empty_strided_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eq_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/equal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/equal_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/equal_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/equal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/equal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/erfinv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_as_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expand_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/expm1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/exponential_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/eye_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_channel_affine_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fake_quantize_per_tensor_affine_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_fp16_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_int8_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_quantize_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_quantize_weight_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_quantize_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_linear_quantize_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_quantized_matrix.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_quantized_matrix_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_quantized_matrix_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fbgemm_pack_quantized_matrix_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_alpha_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_alpha_dropout_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_alpha_dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_alpha_dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_dropout_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/feature_dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftfreq.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftfreq_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftfreq_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftfreq_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftshift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftshift_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftshift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_fftshift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_hfftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftshift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftshift_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftshift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ifftshift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_ihfftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_irfftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftfreq.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftfreq_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftfreq_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftfreq_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fft_rfftn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_diagonal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_diagonal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_diagonal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_diagonal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fill_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fix.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fix_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fix_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fix_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_dense_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_dense_tensors_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_dense_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_dense_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flatten_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flip_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fliplr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fliplr_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fliplr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fliplr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flipud.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flipud_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flipud_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/flipud_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/float_power.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/float_power_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/float_power_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/float_power_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_divide_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/floor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fmod_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frac_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fractional_max_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frobenius_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frobenius_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frobenius_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/frobenius_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_file.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_file_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_file_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_file_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/from_file_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/full_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fused_moving_avg_obs_fake_quant.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gather_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gcd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ge_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gelu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geometric_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geqrf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geqrf_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geqrf_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geqrf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/geqrf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ger.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ger_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ger_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_jvp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_jvp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/glu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gradient.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gradient_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gradient_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gradient_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_equal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_equal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_equal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_equal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/greater_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/grid_sampler_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/group_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/group_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/group_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/group_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gru_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/gt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hamming_window.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hamming_window_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hamming_window_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hamming_window_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hann_window.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hann_window_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hann_window_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hann_window_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardshrink_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardsigmoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardswish_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hardtanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/heaviside_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hinge_embedding_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hinge_embedding_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hinge_embedding_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hinge_embedding_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogram.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogram_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogram_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogram_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogramdd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogramdd_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogramdd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/histogramdd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hsplit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hsplit_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hsplit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hsplit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hspmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hspmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hspmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hstack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hstack_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hstack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hstack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/huber_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/hypot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/i0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/igammac_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/im2col.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/im2col_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/im2col_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/im2col_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/im2col_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/imag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/imag_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/imag_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/imag_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_add_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_fill_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_put.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_put_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_put_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_put_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_reduce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/index_select_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/infinitely_differentiable_gelu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/infinitely_differentiable_gelu_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/infinitely_differentiable_gelu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/infinitely_differentiable_gelu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inner.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inner_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inner_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inner_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/instance_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/instance_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/instance_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/instance_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/int_repr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/int_repr_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/int_repr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/int_repr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inverse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inverse_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inverse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/inverse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_coalesced.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_coalesced_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_coalesced_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_coalesced_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_complex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_complex_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_complex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_complex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_conj.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_conj_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_conj_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_conj_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_distributed.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_distributed_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_distributed_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_distributed_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_floating_point.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_floating_point_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_floating_point_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_floating_point_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_inference.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_inference_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_inference_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_inference_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_leaf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_leaf_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_leaf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_leaf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_neg.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_neg_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_neg_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_neg_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_nonzero.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_nonzero_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_nonzero_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_nonzero_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_pinned.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_pinned_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_pinned_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_pinned_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_pinned_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_same_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_same_size_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_same_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_same_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_set_to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_set_to_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_set_to_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_set_to_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_set_to_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_signed.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_signed_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_signed_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_signed_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_vulkan_available.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_vulkan_available_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_vulkan_available_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/is_vulkan_available_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isclose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isclose_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isclose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isclose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isfinite.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isfinite_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isfinite_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isfinite_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isinf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isinf_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isinf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isinf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isnan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isneginf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isposinf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isreal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isreal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isreal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/isreal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/istft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/istft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/istft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/istft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/item.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/item_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/item_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/item_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kaiser_window.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kaiser_window_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kaiser_window_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kaiser_window_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kl_div.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kl_div_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kl_div_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kl_div_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kron.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kron_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kron_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kron_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/kthvalue_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/l1_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/l1_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/l1_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/l1_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/layer_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/layer_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/layer_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/layer_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lcm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ldexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ldexp_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ldexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ldexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/le_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/leaky_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lerp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_equal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_equal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_equal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_equal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/less_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lgamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_fresh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cholesky_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cond.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cond_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cond_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cond_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_cross_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_det.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_det_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_det_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_det_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_diagonal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_diagonal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_diagonal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_diagonal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eig.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eig_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eig_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eig_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eig_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvals.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvals_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvals_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvals_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvalsh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvalsh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvalsh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_eigvalsh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_householder_product.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_householder_product_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_householder_product_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_householder_product_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_householder_product_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_inv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_factor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_ldl_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lstsq_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_factor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_lu_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matmul_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_exp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_power.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_power_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_power_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_power_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_rank.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_rank_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_rank_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_matrix_rank_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_multi_dot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_multi_dot_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_multi_dot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_multi_dot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_pinv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_qr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_slogdet.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_slogdet_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_slogdet_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_slogdet_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_ex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_ex_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_ex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_ex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_triangular.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_triangular_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_triangular_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_triangular_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_solve_triangular_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svd_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svdvals.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svdvals_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svdvals_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_svdvals_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorinv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorinv_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorinv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorinv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorsolve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorsolve_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorsolve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_tensorsolve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vander.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vander_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vander_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vander_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vecdot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vecdot_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vecdot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vecdot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linalg_vector_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linear_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/linspace_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log10_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log1p_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_normal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_sigmoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_softmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/log_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logaddexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logcumsumexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logcumsumexp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logcumsumexp_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logcumsumexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logcumsumexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logdet.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logdet_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logdet_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logdet_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_and_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_not_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_or_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logical_xor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logspace_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/logsumexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lshift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_mps_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_mps_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_mps_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_mps_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lstm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_solve_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/lu_unpack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mH.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mH_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mH_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mH_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mT.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mT_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mT_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mT_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/margin_ranking_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/margin_ranking_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/margin_ranking_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/margin_ranking_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_fill_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/masked_select_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matmul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_H.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_H_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_H_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_H_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_exp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_power.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_power_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_power_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/matrix_power_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/meshgrid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_with_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_with_indices_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_with_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool1d_with_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool2d_with_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_pool3d_with_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/max_unpool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/maximum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mean_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/median_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/meshgrid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/meshgrid_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/meshgrid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/min_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/minimum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_batch_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_add_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_add_relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_add_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_add_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_transpose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_transpose_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_transpose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_convolution_transpose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_depthwise_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_depthwise_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_depthwise_convolution_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_depthwise_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_depthwise_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/miopen_rnn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mish_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_convolution.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_convolution_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_convolution_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_convolution_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_input.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_input_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_input_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_input_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_weights.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_weights_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_weights_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_backward_weights_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_linear_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_max_pool3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv2d_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv3d_weight.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mkldnn_rnn_layer_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mode_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/moveaxis.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/moveaxis_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/moveaxis_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/moveaxis_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/movedim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/movedim_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/movedim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/movedim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_transpose_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_transpose_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_transpose_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mps_convolution_transpose_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mse_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/msort.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/msort_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/msort_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/msort_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mul_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multi_margin_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multilabel_margin_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multinomial.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multinomial_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multinomial_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multinomial_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multinomial_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multiply.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multiply_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multiply_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/multiply_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mv_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/mvlgamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nan_to_num_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmean.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmean_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmean_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmean_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanmedian_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanquantile.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanquantile_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanquantile_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nanquantile_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nansum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nansum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nansum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nansum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nansum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_copy_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/narrow_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_batch_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_channel_shuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_channel_shuffle_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_channel_shuffle_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_channel_shuffle_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_channel_shuffle_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_dropout_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_group_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_layer_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/native_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ne_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/neg_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/negative.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/negative_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/negative_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/negative_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nested_to_padded_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nested_to_padded_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nested_to_padded_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nested_to_padded_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_strided.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_strided_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_strided_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_strided_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_empty_strided_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_full.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_full_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_full_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rot90.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_full_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_ones.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_ones_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_ones_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_ones_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_zeros.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_zeros_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_zeros_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/new_zeros_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nextafter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_nd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_nd_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_nd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_nd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nll_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_numpy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_numpy_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_numpy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_numpy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nonzero_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_except_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_except_dim_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_except_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_except_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/normal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/not_equal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/not_equal_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/not_equal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/not_equal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nuclear_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nuclear_norm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nuclear_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/nuclear_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/numpy_T.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/numpy_T_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/numpy_T_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/numpy_T_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/one_hot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/one_hot_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/one_hot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/one_hot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ones_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/or.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/or_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/or_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/or_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/orgqr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/orgqr_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/orgqr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/orgqr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ormqr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ormqr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ormqr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ormqr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ormqr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/outer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/outer_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/outer_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/outer_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/output_nr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/output_nr_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/output_nr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/output_nr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_sequence.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_sequence_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_sequence_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pad_sequence_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pairwise_distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pairwise_distance_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pairwise_distance_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pairwise_distance_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pdist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pdist_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pdist_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pdist_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/permute_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pin_memory.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pin_memory_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pin_memory_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pin_memory_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pinverse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pinverse_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pinverse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pinverse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_shuffle_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pixel_unshuffle_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_nll_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_nll_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_nll_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_nll_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/poisson_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polar_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/polygamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/positive.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/positive_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/positive_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/positive_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/pow_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prelu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prelu_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prelu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prelu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/prod_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/promote_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/promote_types_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/promote_types_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/promote_types_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/put_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_axis.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_axis_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_axis_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_scales.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_scales_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_scales_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_scales_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_zero_points.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_zero_points_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_zero_points_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_per_channel_zero_points_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_scale.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_scale_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_scale_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_zero_point.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_zero_point_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/q_zero_point_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qr_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qscheme.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qscheme_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/qscheme_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantile.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantile_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantile_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantile_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_channel_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_dynamic_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantize_per_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_batch_norm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_batch_norm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_batch_norm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_gru_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_gru_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_gru_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_gru_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_lstm_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_lstm_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_lstm_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_lstm_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool1d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool2d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_max_pool2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_relu_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_relu_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_relu_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_relu_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_tanh_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_tanh_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_tanh_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/quantized_rnn_tanh_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rad2deg.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rad2deg_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rad2deg_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rad2deg_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rand_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randint_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/random_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/randperm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/range_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ravel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ravel_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ravel_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/ravel_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/real.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/real_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/real_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/real_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reciprocal_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/record_stream.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/record_stream_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/record_stream_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/record_stream_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/refine_names.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/refine_names_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/refine_names_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/refine_names_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reflection_pad3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu6.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu6_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu6_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu6_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/remainder_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rename.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rename_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rename_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rename_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/renorm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_interleave_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/repeat_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/replication_pad3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/requires_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/requires_grad_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/requires_grad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/requires_grad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_as_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_as_compositeimplicitautogradnestedtensor_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_compositeimplicitautogradnestedtensor_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/reshape_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_sparse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_sparse_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_sparse_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_sparse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_as_sparse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_conj.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_conj_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_conj_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_conj_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_neg.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_neg_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_neg_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/resolve_neg_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/result_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/result_type_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/result_type_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/result_type_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retain_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retain_grad_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retain_grad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retain_grad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retains_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retains_grad_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retains_grad_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/retains_grad_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_relu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_cell.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_cell_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_cell_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_cell_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rnn_tanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/roll_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rot90_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rot90_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rot90_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/round_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_stack_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_stack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/row_stack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rrelu_with_noise_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rshift_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsqrt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/rsub_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scalar_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scalar_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scalar_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scalar_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scaled_dot_product_attention.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scaled_dot_product_attention_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scaled_dot_product_attention_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scaled_dot_product_attention_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_add_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/scatter_reduce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/searchsorted_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/segment_reduce_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_scatter_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/select_scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/selu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/selu_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/selu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/selu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_data_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_data_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_data_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/set_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sgn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sigmoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sign_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/signbit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/silu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sin_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sinh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/size_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_scatter.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_scatter_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_scatter_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slice_scatter_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slogdet.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slogdet_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slogdet_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slogdet_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_forward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_forward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_forward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_forward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_dilated3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/slow_conv_transpose3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/smooth_l1_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/soft_margin_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softmax_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softplus_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/softshrink_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sort_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsc_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsc_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsc_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsc_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsr_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsr_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsr_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_bsr_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_compressed_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_compressed_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_compressed_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_compressed_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_coo_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_coo_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_coo_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_coo_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_coo_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csc_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csc_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csc_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csc_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csr_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csr_tensor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csr_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_csr_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_dim_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_dim_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_mask.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_mask_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_mask_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_mask_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_and_clear.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_and_clear_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_and_clear_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_and_clear_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_and_clear_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_resize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_sampled_addmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_sampled_addmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sparse_sampled_addmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_airy_ai_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_j1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_bessel_y1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_t_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_u_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_v_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_chebyshev_polynomial_w_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_digamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_digamma_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_digamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_digamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_entr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erf.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erf_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erf_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erf_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfc_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfcx_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfinv.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfinv_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfinv_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_erfinv_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_exp2.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_exp2_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_exp2_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_exp2_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expit_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expm1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expm1_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expm1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_expm1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammainc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammainc_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammainc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammainc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaincc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaincc_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaincc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaincc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaln.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaln_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaln_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_gammaln_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_h_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_hermite_polynomial_he_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i0e_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_i1e_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_laguerre_polynomial_l_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_legendre_polynomial_p_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log1p.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log1p_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log1p_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log1p_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_ndtr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_log_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logit_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logsumexp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logsumexp_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logsumexp_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_logsumexp_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_i1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_modified_bessel_k1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_multigammaln.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_multigammaln_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_multigammaln_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_multigammaln_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtr_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_ndtri_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_polygamma.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_polygamma_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_polygamma_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_polygamma_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_psi.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_psi_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_psi_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_psi_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_round.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_round_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_round_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_round_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_scaled_modified_bessel_k1_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_sinc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_sinc_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_sinc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_sinc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_softmax_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_softmax_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_softmax_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_spherical_bessel_j0_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlog1py_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlogy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlogy_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlogy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_xlogy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/special_zeta_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/split_with_sizes_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sqrt_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/square.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/square_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/square_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/square_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/squeeze_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sspaddmm_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stack_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_mean_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/std_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stft.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stft_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stft_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stft_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stride.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stride_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stride_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/stride_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sub_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/subtract.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/subtract_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/subtract_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/subtract_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_to_size.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_to_size_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_to_size_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/sum_to_size_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/svd.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/svd_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/svd_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/svd_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapaxes.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapaxes_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapaxes_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapaxes_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapdims.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapdims_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapdims_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/swapdims_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/t_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_along_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_along_dim_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_along_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_along_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/take_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tan_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tanh_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensor_split.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensor_split_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensor_split_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensor_split_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tensordot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/thnn_conv2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/thnn_conv2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/thnn_conv2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/thnn_conv2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/threshold_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tile.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tile_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tile_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tile_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_dense_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_mkldnn_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_padded_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_padded_tensor_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_padded_tensor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_padded_tensor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_bsr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_csr_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/to_sparse_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/topk_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trace_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/transpose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapezoid.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapezoid_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapezoid_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapezoid_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapz.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapz_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapz_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trapz_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triangular_solve_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/tril_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triplet_margin_loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triplet_margin_loss_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triplet_margin_loss_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triplet_margin_loss_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_indices_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/triu_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/true_divide.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/true_divide_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/true_divide_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/true_divide_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/trunc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/type_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/type_as_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/type_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/type_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_compositeimplicitautogradnestedtensor_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unbind_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_dense_tensors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_dense_tensors_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_dense_tensors_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_dense_tensors_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unflatten_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unfold_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/uniform_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_consecutive_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_consecutive_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unique_dim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_chunk.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_chunk_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_chunk_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_chunk_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_with_sizes.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_with_sizes_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_with_sizes_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsafe_split_with_sizes_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/unsqueeze_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bicubic2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_bilinear2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_linear1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest1d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest2d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_nearest3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/upsample_trilinear3d_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/value_selecting_reduction_backward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/value_selecting_reduction_backward_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/value_selecting_reduction_backward_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/value_selecting_reduction_backward_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/values_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vander.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vander_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vander_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vander_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_mean_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/var_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vdot_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_complex_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_as_real_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_copy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_copy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_copy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/view_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vsplit.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vsplit_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vsplit_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vsplit_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vstack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vstack_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vstack_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/vstack_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/where_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_compositeexplicitautogradnonfunctional_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_cuda_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_meta.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xlogy_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xor_compositeimplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xor_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/xor_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_cpu_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_meta_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zero_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_like.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_like_compositeexplicitautograd_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_like_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_like_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_native.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops copying torch/include/ATen/ops/zeros_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl copying torch/include/ATen/hip/impl/HIPAllocatorMasqueradingAsCUDA.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl copying torch/include/ATen/hip/impl/HIPCachingAllocatorMasqueradingAsCUDA.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl copying torch/include/ATen/hip/impl/HIPGuardImplMasqueradingAsCUDA.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl copying torch/include/ATen/hip/impl/HIPStreamMasqueradingAsCUDA.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/Descriptors.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/Exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/Handle.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/Types.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/Utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen copying torch/include/ATen/miopen/miopen-wrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail copying torch/include/ATen/detail/CUDAHooksInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail copying torch/include/ATen/detail/FunctionTraits.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail copying torch/include/ATen/detail/HIPHooksInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail copying torch/include/ATen/detail/MPSHooksInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail copying torch/include/ATen/detail/ORTHooksInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/AdaptivePooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/BatchLinearAlgebra.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/BinaryOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/BucketizationUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/CPUBlas.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/CPUFallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/CanUse32BitIndexMath.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ComplexHelper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/CompositeRandomAccessor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/CompositeRandomAccessorCommon.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ConvUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ConvolutionMM3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Cross.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/DilatedConvolutionUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/DispatchStub.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/DistributionTemplates.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Distributions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/EmbeddingBag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Fill.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ForeachUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/FractionalMaxPooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/FunctionOfAMatrixUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/GridSampler.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/GridSamplerUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Histogram.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/IndexKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/IndexingUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Lerp.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/LinearAlgebra.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/LinearAlgebraUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/LossMulti.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Math.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/MathBitFallThroughLists.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/MathBitsFallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/MaxPooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/NonEmptyUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/NonSymbolicBC.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Normalization.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/PointwiseOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Pool.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Pow.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/RNN.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/RangeFactories.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ReduceAllOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ReduceOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ReduceOpsUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ReductionType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Repeat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Resize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ResizeCommon.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/ScatterGatherChecks.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/SegmentReduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/SharedReduceOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/SobolEngineOpsUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Sorting.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/SortingUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/SpectralOpsUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/StridedRandomAccessor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorAdvancedIndexing.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorAdvancedIndexingUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorCompare.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorConversions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorDimApply.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorFactories.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorIterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorIteratorDynamicCasting.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorProperties.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorShape.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TensorTransformations.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TopKImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TransposeType.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TriangularOpsUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/TypeProperties.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/UnaryOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Unfold2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/Unfold3d.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/UnfoldBackward.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/UpSample.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/batch_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/group_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/im2col.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/im2col_shape_check.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/layer_norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/verbose_wrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native copying torch/include/ATen/native/vol2col.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/AtomicAddFloat.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/CatKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/ChannelShuffleKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/CopyKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/DepthwiseConvKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/DistributionTemplates.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/GridSamplerKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/IndexKernelUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/Intrinsics.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/IsContiguous.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/Loops.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/MaxUnpoolKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/PixelShuffleKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/Reduce.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/ReduceUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/SampledAddmmKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/SerialStackImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/SoftmaxKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/SpmmReduceKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/StackKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/UpSampleKernelAVXAntialias.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/WeightNormKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/avx_mathfun.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/mixed_data_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/moments_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/radix_sort.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu copying torch/include/ATen/native/cpu/zmath.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/BinaryInternal.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/CompositeRandomAccessor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/CuFFTPlanCache.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/CuFFTUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/DistributionTemplates.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Distributions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/GridSampler.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/IndexKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/LaunchUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/MiscUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ReduceOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Resize.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ScanKernels.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Sort.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/SortStable.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Sorting.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/TensorModeKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/TensorTopK.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/jit_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/thread_constants.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/CUDAJitLoops.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/CUDALoops.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/DeviceSqrt.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/EmbeddingBackwardKernel.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ForeachFunctors.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ForeachMinMaxFunctors.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/GridSampler.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/JitLoops.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/KernelUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Loops.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Math.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/MemoryAccess.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/MultiTensorApply.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Normalization.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/PersistentSoftmax.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Pow.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ROCmLoops.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Randperm.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/Reduce.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/ScanUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/SortUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/SortingCommon.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/SortingRadixSelect.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/TensorModeKernel.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/UniqueCub.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/UpSample.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/block_reduce.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/fused_adam_amsgrad_impl.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/fused_adam_impl.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/fused_adam_utils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/fused_adamw_amsgrad_impl.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/fused_adamw_impl.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/im2col.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/reduction_template.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda copying torch/include/ATen/native/cuda/vol2col.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/AffineQuantizer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/AffineQuantizerBase.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/Copy.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/FakeQuantAffine.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/IndexKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized copying torch/include/ATen/native/quantized/PackedParams.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/BinaryOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/EmbeddingPackedParams.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/OnednnUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/QnnpackUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/QuantUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/QuantizedOps.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/RuyUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/XnnpackUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/conv_serialization.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/fbgemm_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/init_qnnpack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/qembeddingbag.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu copying torch/include/ATen/native/quantized/cpu/qembeddingbag_prepack.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/quantized copying torch/include/ATen/quantized/QTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/quantized copying torch/include/ATen/quantized/Quantizer.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/quantized creating build/lib.linux-x86_64-cpython-310/torch/include/caffe2 creating build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/istream_adapter.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/versions.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/in_memory_adapter.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/file_adapter.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/inline_container.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/crc_alt.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize copying torch/include/caffe2/serialize/read_adapter_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize creating build/lib.linux-x86_64-cpython-310/torch/include/c10 creating build/lib.linux-x86_64-cpython-310/torch/include/c10/macros copying torch/include/c10/macros/Export.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/macros copying torch/include/c10/macros/Macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/macros copying torch/include/c10/macros/cmake_macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/macros creating build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SymIntArrayRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/CopyBytes.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/TensorOptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DefaultDtype.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/MemoryFormat.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/OptionalRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Stream.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Device.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/StorageImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/thread_pool.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Layout.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/alignment.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SymFloat.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Storage.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/WrapDimMinimal.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/CompileTimeFunctionPointer.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/ScalarType.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DefaultTensorOptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DeviceType.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Event.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DynamicCast.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DispatchKeySet.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/StreamGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DeviceGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SymNodeImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/ScalarTypeToTypeMeta.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DeviceArray.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Allocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/GeneratorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SymBool.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/TensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Backend.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/QScheme.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/DispatchKey.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SymInt.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/UndefinedTensorImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/SafePyObject.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/AutogradState.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/QEngine.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/CPUAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/GradMode.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/Scalar.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/PyHandleCache.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core copying torch/include/c10/core/InferenceMode.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing copying torch/include/ATen/core/boxing/BoxedKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing copying torch/include/ATen/core/boxing/BoxedKernel_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing copying torch/include/ATen/core/boxing/KernelFunction.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing copying torch/include/ATen/core/boxing/KernelFunction_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing copying torch/include/ATen/core/boxing/OperatorKernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl copying torch/include/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl copying torch/include/ATen/core/boxing/impl/WrapFunctionIntoRuntimeFunctor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl copying torch/include/ATen/core/boxing/impl/boxing.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl copying torch/include/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl copying torch/include/ATen/core/boxing/impl/test_helpers.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/CppSignature.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/DispatchKeyExtractor.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/Dispatcher.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/ObservedOperators.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/OperatorEntry.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/OperatorOptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch copying torch/include/ATen/core/dispatch/RegistrationHandleRAII.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch creating build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration copying torch/include/ATen/core/op_registration/adaption.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration copying torch/include/ATen/core/op_registration/infer_schema.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration copying torch/include/ATen/core/op_registration/op_allowlist.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration copying torch/include/ATen/core/op_registration/op_registration.h -> build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration creating build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/DeviceGuardImplInterface.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/GPUTrace.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/InlineEvent.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/PythonDispatcherTLS.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/PyInterpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/LocalDispatchKeySet.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/VirtualGuardImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/HermeticPyObjectTLS.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/TorchDispatchModeTLS.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/PyObjectSlot.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/FakeGuardImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/alloc_cpu.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/InlineDeviceGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/SizesAndStrides.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl copying torch/include/c10/core/impl/InlineStreamGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl creating build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/quint2x4.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/either.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ScopeExit.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Deprecated.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/BFloat16-math.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/tempfile.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/complex_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Type.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/complex.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/safe_numerics.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ArrayRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/qint8.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/LeftRight.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ExclusivelyOwned.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/FunctionRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Load.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Optional.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/IdWrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/math_compat.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Half.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/win32-headers.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/numa.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/SmallBuffer.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/strides.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/BFloat16.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/C++17.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/quint8.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Half-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/thread_name.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/variant.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Flags.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/sparse_bitset.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/order_preserving_flat_hash_map.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/llvmMathExtras.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Unicode.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/complex_math.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/flat_hash_map.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/accumulate.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/overloaded.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Metaprogramming.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/python_stub.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ConstexprCrc.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/TypeList.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/TypeTraits.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/irange.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Bitset.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/MathConstants.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/logging_is_not_google_glog.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/BFloat16-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/MaybeOwned.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/env.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Backtrace.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/int128.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Array.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ThreadLocalDebugInfo.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/quint4x2.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/StringUtil.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/typeid.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/string_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ExclusivelyOwnedTensorTraits.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Unroll.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Logging.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/hash.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/copysign.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/TypeCast.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/TypeSafeSignMath.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/logging_is_google_glog.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/qint32.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/OptionalArrayRef.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/TypeIndex.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/strong_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/in_place.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/reverse_iterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/string_view.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/ThreadLocal.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/DeadlockDetection.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/CallOnce.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Exception.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/DimVector.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/signal_handler.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/intrusive_ptr.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/AlignOf.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/SmallVector.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/Synchronized.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util copying torch/include/c10/util/UniqueVoidPtr.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/util creating build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDACachingAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDADeviceAssertionHost.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAException.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAGuard.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAMacros.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAMathCompat.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAMiscFunctions.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAStream.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDADeviceAssertion.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAGraphsC10Utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda copying torch/include/c10/cuda/CUDAAlgorithm.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda creating build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl copying torch/include/c10/cuda/impl/CUDAGuardImpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl copying torch/include/c10/cuda/impl/CUDATest.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl copying torch/include/c10/cuda/impl/cuda_cmake_macros.h -> build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl creating build/lib.linux-x86_64-cpython-310/torch/include/torch copying torch/include/torch/custom_class.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch copying torch/include/torch/custom_class_detail.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch copying torch/include/torch/library.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch copying torch/include/torch/script.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch copying torch/include/torch/extension.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Export.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Dtype.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/MemoryFormat.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/PyInterpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Stream.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Device.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/python_headers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Layout.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Size.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Storage.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/serialization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/python_dimname.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/CudaIPCTypes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/THP.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/StorageSharing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/itt_wrapper.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/DataLoader.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/copy_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Generator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/QScheme.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/DynamicTypes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/TypeInfo.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/StorageMethods.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/THConcat.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/PythonTypes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc copying torch/include/torch/csrc/Module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/all.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/ordered_dict.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/linalg.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/imethod.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/special.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/expanding_array.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/serialize.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/nn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/fft.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/data.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/python.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/enum.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/jit.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/nested.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/arg.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/optim.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/cuda.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/autograd.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/torch.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/sparse.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch copying torch/include/torch/csrc/api/include/torch/version.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/dataloader_options.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/samplers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/transforms.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/iterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/datasets.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/worker_exception.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/example.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data copying torch/include/torch/csrc/api/include/torch/data/dataloader.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader copying torch/include/torch/csrc/api/include/torch/data/dataloader/stateless.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader copying torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader copying torch/include/torch/csrc/api/include/torch/data/dataloader/base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/mnist.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/chunk.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/shared.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/map.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/stateful.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets copying torch/include/torch/csrc/api/include/torch/data/datasets/base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail copying torch/include/torch/csrc/api/include/torch/data/detail/data_shuttle.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail copying torch/include/torch/csrc/api/include/torch/data/detail/queue.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail copying torch/include/torch/csrc/api/include/torch/data/detail/sequencers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/custom_batch_request.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/random.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/serialize.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/stream.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/sequential.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/distributed.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers copying torch/include/torch/csrc/api/include/torch/data/samplers/base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms copying torch/include/torch/csrc/api/include/torch/data/transforms/lambda.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms copying torch/include/torch/csrc/api/include/torch/data/transforms/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms copying torch/include/torch/csrc/api/include/torch/data/transforms/stack.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms copying torch/include/torch/csrc/api/include/torch/data/transforms/collate.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms copying torch/include/torch/csrc/api/include/torch/data/transforms/base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/detail copying torch/include/torch/csrc/api/include/torch/detail/static.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/detail copying torch/include/torch/csrc/api/include/torch/detail/TensorDataContainer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/detail creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/functional.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/options.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/cloneable.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/pimpl-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/modules.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn copying torch/include/torch/csrc/api/include/torch/nn/pimpl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/batchnorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/pooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/instancenorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/conv.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/pixelshuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/vision.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/padding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/embedding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/normalization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/upsampling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/fold.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional copying torch/include/torch/csrc/api/include/torch/nn/functional/activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/batchnorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/pooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/instancenorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/conv.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/pixelshuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/vision.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/transformerlayer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/padding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/embedding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/normalization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/transformer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/upsampling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/fold.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/adaptive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/transformercoder.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/rnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options copying torch/include/torch/csrc/api/include/torch/nn/options/activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/pooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/instancenorm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/conv.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/pixelshuffle.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/common.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/transformerlayer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/padding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/embedding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/normalization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/transformer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/upsampling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/fold.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/loss.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/adaptive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/transformercoder.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/rnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules copying torch/include/torch/csrc/api/include/torch/nn/modules/activation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/any.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterlist.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/moduledict.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/named_any.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterdict.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/modulelist.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/functional.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/any_module_holder.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/sequential.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container copying torch/include/torch/csrc/api/include/torch/nn/modules/container/any_value.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/parallel copying torch/include/torch/csrc/api/include/torch/nn/parallel/data_parallel.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/parallel creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils copying torch/include/torch/csrc/api/include/torch/nn/utils/convert_parameters.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils copying torch/include/torch/csrc/api/include/torch/nn/utils/clip_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils copying torch/include/torch/csrc/api/include/torch/nn/utils/rnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/sgd.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/optimizer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/adagrad.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/serialize.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/adam.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/lbfgs.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/adamw.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim copying torch/include/torch/csrc/api/include/torch/optim/rmsprop.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/schedulers copying torch/include/torch/csrc/api/include/torch/optim/schedulers/lr_scheduler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/schedulers copying torch/include/torch/csrc/api/include/torch/optim/schedulers/step_lr.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/schedulers creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize copying torch/include/torch/csrc/api/include/torch/serialize/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize copying torch/include/torch/csrc/api/include/torch/serialize/output-archive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize copying torch/include/torch/csrc/api/include/torch/serialize/input-archive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize copying torch/include/torch/csrc/api/include/torch/serialize/archive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_cpp_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/graph_task.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/autograd_not_implemented_fallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/profiler_legacy.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/edge.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/profiler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_saved_variable_hooks.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_return_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/VariableTypeUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_sparse_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_legacy_variable.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/saved_variable.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/saved_variable_hooks.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/cpp_hook.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_linalg_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_nested_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/variable.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_nn_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_anomaly_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/jit_decomp_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/input_metadata.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/function_hook.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_enum_tag.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/anomaly_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/symbolic.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_torch_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/profiler_python.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_variable_indexing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_special_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/input_buffer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_hook.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/engine.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/profiler_kineto.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/record_function_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_autograd.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/forward_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_engine.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/grad_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_variable.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/FunctionsManual.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/autograd.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/custom_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/python_fft_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd copying torch/include/torch/csrc/autograd/InferenceMode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/basic_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/pybind.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/accumulate_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions copying torch/include/torch/csrc/autograd/functions/comm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated copying torch/include/torch/csrc/autograd/generated/python_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated copying torch/include/torch/csrc/autograd/generated/VariableType.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated copying torch/include/torch/csrc/autograd/generated/Functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated copying torch/include/torch/csrc/autograd/generated/variable_factories.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/python_arg_parsing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/wrap_outputs.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/warnings.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/error_messages.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/lambda_post_hook.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils copying torch/include/torch/csrc/autograd/utils/grad_layout_contract.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/Stream.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/python_comm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/THCP.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/device_set.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/python_nccl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/nccl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/Event.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/memory_snapshot.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/comm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/CUDAPluggableAllocator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda copying torch/include/torch/csrc/cuda/Module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/logging.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/TraceUtils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/debug.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/python_comm_hook.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/error.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/exception.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/c10d.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/socket.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupUCC.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/TCPStore.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/UCCUtils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/logger.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/WinSockUtils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/default_comm_hooks.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/NCCLUtils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupGloo.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/Utils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/comm.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupMPI.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/PrefixStore.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/GlooDeviceFactory.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/reducer.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/sequence_num.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupWrapper.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/UCCTracing.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/UnixSockUtils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupRoundRobin.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/Store.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/FileStore.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/UCCForNCCL.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/reducer_timer.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroup.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/PyProcessGroup.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/Backend.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/Work.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/ParamCommsUtils.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/HashStore.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d copying torch/include/torch/csrc/distributed/c10d/Types.hpp -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/torchscript_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/request_callback.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/unpickled_python_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/script_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/tensorpipe_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/message.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/request_callback_no_python.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/python_resp.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rref_context.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/script_remote_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/py_rref.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/tensorpipe_agent.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/python_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rref_proto.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/request_callback_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rpc_agent.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rref_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/agent_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/unpickled_python_remote_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rpc.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/rpc_command_base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/python_rpc_handler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/python_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/python_remote_call.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc copying torch/include/torch/csrc/distributed/rpc/script_resp.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit copying torch/include/torch/csrc/jit/resource_guard.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit copying torch/include/torch/csrc/jit/jit_log.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit copying torch/include/torch/csrc/jit/jit_opt_limit.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_resolver.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_debug_handler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_preprocess.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_debug_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_exception.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends copying torch/include/torch/csrc/jit/backends/backend_detail.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_graph_optimizations.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/decompose_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/clear_undefinedness.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/batch_mm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/fold_conv_bn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/canonicalize.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/vulkan_rewrite.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/lower_graph.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/requires_grad_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/check_strict_fusion.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/metal_rewrite.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/graph_fuser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/annotate_warns.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/symbolic_shape_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_expands.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/constant_pooling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/shape_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/loop_unrolling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/refine_tuple_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/value_refinement_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/bailout_graph.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_concat_linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/mobile_optimizer_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/pass_manager.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/eliminate_no_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/guard_elimination.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/hoist_conv_packed_params.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/fuse_relu.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_mutation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/erase_number_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/variadic_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/clear_profiling.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/canonicalize_graph_fuser_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/common_subexpression_elimination.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/create_functional_graphs.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/lift_closures.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/prepack_folding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/peephole_non_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/inplace_check.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/normalize_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/autocast.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/symbolic_shape_cache.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/freeze_module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/inline_fork_wait.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/symbolic_shape_runtime_fusion.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/peephole_list_idioms.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/xnnpack_rewrite.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/restore_mutation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_linear_transpose.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/specialize_autogradzero.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/lower_tuples.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/inline_autodiff_subgraphs.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/graph_rewrite_helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_dropout.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/peephole.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/device_type_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/fixup_trace_scope_blocks.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_redundant_profiles.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/fold_linear_bn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/dtype_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/liveness.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/update_differentiable_graph_requires_grad.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/onnx.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_ops_to_mkldnn.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/dead_code_elimination.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_linear_folding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/onednn_graph_fuser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/constant_propagation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/replacement_of_old_operators.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/insert_guards.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/mkldnn_rewrite.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/create_autodiff_subgraphs.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/peephole_dict_idioms.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/concat_opt.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/inline_forked_closures.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/lower_grad_of.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/integer_value_refinement.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/tensorexpr_fuser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/add_if_then_else.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/inliner.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/fuse_linear.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/remove_inplace_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/cuda_graph_fuser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_conv_add_relu_fusion.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/frozen_conv_folding.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/peephole_alias_sensitive.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes copying torch/include/torch/csrc/jit/passes/subgraph_rewrite.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/helper.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/quantization_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/dedup_module_uses.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/quantization_patterns.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/fusion_passes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/insert_quant_dequant.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/insert_observers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/register_packed_params.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization copying torch/include/torch/csrc/jit/passes/quantization/finalize.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils copying torch/include/torch/csrc/jit/passes/utils/subgraph_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils copying torch/include/torch/csrc/jit/passes/utils/optimization_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils copying torch/include/torch/csrc/jit/passes/utils/check_alias_annotation.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils copying torch/include/torch/csrc/jit/passes/utils/op_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils copying torch/include/torch/csrc/jit/passes/utils/memory_dag.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/logging.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/graph_iterator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/script_profile.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/decomposition_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/decomposition_registry_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/symbolic_shape_registry_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/argument_spec.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/register_ops_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/variable_tensor_list.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/custom_operator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/profiling_graph_executor_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/serialized_shape_function_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/vararg_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/graph_executor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/operator_options.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/interpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/autodiff.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/exception_message.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/jit_exception.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/operator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/print_handler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/shape_function_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/calculate_necessary_args.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/graph_executor_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/profiling_record.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/symbolic_script.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/instruction.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/jit_trace.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/simple_graph_executor_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/slice_indices_adjust.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime copying torch/include/torch/csrc/jit/runtime/symbolic_shape_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/alias_analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/constants.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/scope.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/subgraph_matcher.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/ir_views.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/attributes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/graph_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/node_hashing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/named_value.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/irparser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/graph_node_list.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/type_hashing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir copying torch/include/torch/csrc/jit/ir/ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/source_range.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/lexer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/strtod.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/parser_constants.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/function_schema_parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/parse_string_literal.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/schema_type_parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/error_report.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/tree.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/versioned_symbols.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/canonicalize_modified_loop.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/concrete_module_type.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/schema_matching.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/inline_loop_condition.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/script_type_parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/tracer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/sugared_value.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/tree_views.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/resolver.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/edit_distance.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/exit_transforms.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/convert_to_ssa.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/name_mangler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/ir_emitter.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/mini_environment.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/builtin_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend copying torch/include/torch/csrc/jit/frontend/source_ref.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api copying torch/include/torch/csrc/jit/api/object.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api copying torch/include/torch/csrc/jit/api/method.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api copying torch/include/torch/csrc/jit/api/module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api copying torch/include/torch/csrc/jit/api/compilation_unit.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api copying torch/include/torch/csrc/jit/api/function_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/callstack_debug_info_serialization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/source_range_serialization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/mobile_bytecode_generated.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/source_range_serialization_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_export_constants.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_read.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/python_print.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/flatbuffer_serializer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/pickle.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_legacy.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_source.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/flatbuffer_serializer_jit.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_export_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/storage_context.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/import_export_helpers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/type_name_uniquer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/onnx.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/unpickler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/export.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/export_bytecode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization copying torch/include/torch/csrc/jit/serialization/pickler.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_sugared_value.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_arg_flatten.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/script_init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_tracer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/module_python.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_custom_class.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_dict.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/pybind.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/pybind_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/update_graph_executor_opt.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_tree_views.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_ivalue.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python copying torch/include/torch/csrc/jit/python/python_list.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/quantization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/prim_ops_registery.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/import.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/debug_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/type_parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/observer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/flatbuffer_loader.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/register_ops_common_utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/parse_operators.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/parse_bytecode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/interpreter.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/promoted_prim_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/method.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/profiler_edge.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/import_export_common.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/file_format.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/code.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/frame.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/upgrader_mobile.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/module.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile copying torch/include/torch/csrc/jit/mobile/import_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/testing copying torch/include/torch/csrc/jit/testing/file_check.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/testing copying torch/include/torch/csrc/jit/testing/hooks_for_testing.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/testing creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/hash_provider.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/lowerings.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_verifier.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/analysis.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/llvm_codegen.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/external_functions_registry.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/bounds_inference.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/eval.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/bounds_overlap.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/cpp_intrinsics.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/half_support.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/fwd_decls.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_simplifier.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/expr.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/cuda_codegen.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/intrinsic_symbols.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/llvm_jit.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/mem_dependency_checker.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/tensorexpr_init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_cloner.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/reduction.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/block_codegen.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/stmt.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_visitor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/kernel.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/cpp_codegen.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/codegen.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/loopnest.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/external_functions_core.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/cuda_random.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/graph_opt.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/var_substitutor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/exceptions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/loopnest_randomization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/unique_name_manager.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/external_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_mutator.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir_printer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr copying torch/include/torch/csrc/jit/tensorexpr/registerizer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/quantization.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/operators.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/matmul.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/norm.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/reduction.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/misc.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/pointwise.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/softmax.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators copying torch/include/torch/csrc/jit/tensorexpr/operators/conv2d.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/codegen creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/codegen/cuda copying torch/include/torch/csrc/jit/codegen/cuda/interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/codegen/cuda creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/onnx copying torch/include/torch/csrc/onnx/init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/onnx copying torch/include/torch/csrc/onnx/onnx.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/onnx creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/perf.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/collection.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/data_flow.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/kineto_shim.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/events.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/perf-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/api.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler copying torch/include/torch/csrc/profiler/containers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration copying torch/include/torch/csrc/profiler/orchestration/vulkan.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration copying torch/include/torch/csrc/profiler/orchestration/python_tracer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration copying torch/include/torch/csrc/profiler/orchestration/observer.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/stubs copying torch/include/torch/csrc/profiler/stubs/base.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/stubs creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/memory.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/invalid_arguments.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/byte_order.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_new.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/torch_dispatch_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_strings.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/auto_gil.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_compat.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_memoryformats.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_tuples.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_flatten.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_arg_parser.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/disable_torch_function.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/variadic.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/numpy_stub.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/cpp_stacktraces.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/pythoncapi_compat.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/cuda_enabled.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_torch_function_mode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/pycfunction_helpers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/pybind.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_apply.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_stub.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/throughput_benchmark-inl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_dispatch.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/throughput_benchmark.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/nested.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_qschemes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_numpy.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/cuda_lazy_init.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_numbers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_symnode.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_layouts.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/object_ptr.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_dtypes.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/tensor_list.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/six.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/structseq.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/schema_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/out_types.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils copying torch/include/torch/csrc/utils/python_scalars.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/tensor copying torch/include/torch/csrc/tensor/python_tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/tensor creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend copying torch/include/torch/csrc/lazy/backend/backend_device.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend copying torch/include/torch/csrc/lazy/backend/backend_interface.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend copying torch/include/torch/csrc/lazy/backend/lowering_context.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend copying torch/include/torch/csrc/lazy/backend/backend_data.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/ir_builder.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/tensor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/dynamic_ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/unique.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/ir_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/thread_pool.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/permutation_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/lazy_graph_executor.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/multi_wait.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/ir_dump_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/shape.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/cache.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/trie.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/hash.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/debug_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/ir_metadata.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/shape_inference.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/tensor_util.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/config.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/tensor_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/helpers.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/metrics.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core copying torch/include/torch/csrc/lazy/core/ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/internal_ops copying torch/include/torch/csrc/lazy/core/internal_ops/ltc_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/internal_ops creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ops copying torch/include/torch/csrc/lazy/core/ops/arithmetic_ir_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ops copying torch/include/torch/csrc/lazy/core/ops/utils.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ops creating build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_autograd_functions.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ir_builder.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/dynamic_ir.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_node.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_node_lowering.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_eager_fallback.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/tensor_aten_ops.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_backend_impl.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/ts_lowering_context.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend copying torch/include/torch/csrc/lazy/ts_backend/config.h -> build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend creating build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/eigen.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/complex.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/operators.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/cast.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/buffer_info.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/functional.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/eval.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/common.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/stl_bind.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/options.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/iostream.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/stl.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/attr.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/chrono.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/pybind11.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/gil.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/pytypes.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/embed.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 copying torch/include/pybind11/numpy.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11 creating build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/common.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/init.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/typeid.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/type_caster_base.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/internals.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/class.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail copying torch/include/pybind11/detail/descr.h -> build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail creating build/lib.linux-x86_64-cpython-310/torch/include/THC copying torch/include/THC/THCAtomics.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/THC copying torch/include/THC/THCDeviceUtils.cuh -> build/lib.linux-x86_64-cpython-310/torch/include/THC copying torch/_inductor/codegen/cpp_prefix.h -> build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen creating build/lib.linux-x86_64-cpython-310/torch/share creating build/lib.linux-x86_64-cpython-310/torch/share/cmake creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/ATen copying torch/share/cmake/ATen/ATenConfig.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/ATen creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2 copying torch/share/cmake/Caffe2/Caffe2ConfigVersion.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2 copying torch/share/cmake/Caffe2/Caffe2Config.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2 copying torch/share/cmake/Caffe2/Caffe2Targets.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2 copying torch/share/cmake/Caffe2/Caffe2Targets-release.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2 creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/cuda.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/glog.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/gflags.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/mkl.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/mkldnn.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/protobuf.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/utils.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public copying torch/share/cmake/Caffe2/public/LoadHIP.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix copying torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDA.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix copying torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDNN.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/CMakeInitializeConfigs.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageMessage.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/run_nvcc.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/parse_cubin.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Tensorpipe copying torch/share/cmake/Tensorpipe/TensorpipeTargets.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Tensorpipe copying torch/share/cmake/Tensorpipe/TensorpipeTargets-release.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Tensorpipe creating build/lib.linux-x86_64-cpython-310/torch/share/cmake/Torch copying torch/share/cmake/Torch/TorchConfigVersion.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Torch copying torch/share/cmake/Torch/TorchConfig.cmake -> build/lib.linux-x86_64-cpython-310/torch/share/cmake/Torch copying torch/utils/benchmark/utils/timeit_template.cpp -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils copying torch/utils/benchmark/utils/valgrind_wrapper/compat_bindings.cpp -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/benchmark/utils/valgrind_wrapper/timer_callgrind_template.cpp -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/benchmark/utils/valgrind_wrapper/callgrind.h -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/benchmark/utils/valgrind_wrapper/valgrind.h -> build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper copying torch/utils/model_dump/skeleton.html -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump copying torch/utils/model_dump/code.js -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump copying torch/utils/model_dump/preact.mjs -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump copying torch/utils/model_dump/htm.mjs -> build/lib.linux-x86_64-cpython-310/torch/utils/model_dump creating build/lib.linux-x86_64-cpython-310/torchgen/packaged creating build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen creating build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native copying torchgen/packaged/ATen/native/native_functions.yaml -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native copying torchgen/packaged/ATen/native/tags.yaml -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native creating build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/DispatchKeyFunctions_inl.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/UfuncCUDA.cu -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Functions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterDispatchDefinitions.ini -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/LazyIr.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/ATenOpList.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/CompositeViewCopyKernels.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RedispatchFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/UfuncCPUKernel.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Operators.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/MethodOperators.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegistrationDeclarations.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterCodegenUnboxedKernels.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/TensorMethods.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/DispatchKeyFunction.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Functions.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/FunctionalInverses.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/UfuncCPU.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/NativeFunction.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/NativeMetaFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/UnboxingFunctions.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Function.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/NativeMetaFunction.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterFunctionalization.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/NativeFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterSchema.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RedispatchFunctions.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/DispatchKeyFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/LazyNonNativeIr.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/enum_tag.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/UnboxingFunctions.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterDispatchKey.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/aten_interned_strings.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Operator.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/TensorBody.h -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/RegisterBackendSelect.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/Operators.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates copying torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.cpp -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates running build_ext -- Building with NumPy bindings -- Detected cuDNN at , -- Detected CUDA at /usr/local/cuda -- Using MKLDNN -- Not using Compute Library for the Arm architecture with MKLDNN -- Not using CBLAS in MKLDNN -- Building NCCL library -- Building with distributed package: -- USE_TENSORPIPE=True -- USE_GLOO=True -- USE_MPI=False -- Building Executorch -- Using ITT -- Building nvfuser Copying functorch._C from functorch/functorch.so to /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/functorch/_C.cpython-310-x86_64-linux-gnu.so copying functorch/functorch.so -> /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/functorch/_C.cpython-310-x86_64-linux-gnu.so Copying nvfuser._C from nvfuser/nvfuser.so to /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/nvfuser/_C.cpython-310-x86_64-linux-gnu.so copying nvfuser/nvfuser.so -> /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/nvfuser/_C.cpython-310-x86_64-linux-gnu.so building 'torch._C' extension creating build/temp.linux-x86_64-cpython-310 creating build/temp.linux-x86_64-cpython-310/torch creating build/temp.linux-x86_64-cpython-310/torch/csrc gcc -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -fPIC -I/usr/include/python3.10 -c torch/csrc/stub.c -o build/temp.linux-x86_64-cpython-310/torch/csrc/stub.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces gcc -shared -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -Wl,--build-id=sha1 -g -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -Wl,--build-id=sha1 -g -Wl,-z,relro -Wl,--as-needed -Wl,--build-id=sha1 -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict build/temp.linux-x86_64-cpython-310/torch/csrc/stub.o -L/builddir/build/BUILD/pytorch-v2.0.1/torch/lib -L/usr/local/cuda/lib64/stubs -L/usr/lib64 -ltorch_python -lpython3.10 -o build/lib.linux-x86_64-cpython-310/torch/_C.cpython-310-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib building 'torch._C_flatbuffer' extension gcc -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -fstack-protector-strong -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -D_GNU_SOURCE -fPIC -fwrapv -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -fPIC -I/usr/include/python3.10 -c torch/csrc/stub_with_flatbuffer.c -o build/temp.linux-x86_64-cpython-310/torch/csrc/stub_with_flatbuffer.o -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces gcc -shared -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -Wl,--build-id=sha1 -g -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -Wl,--build-id=sha1 -g -Wl,-z,relro -Wl,--as-needed -Wl,--build-id=sha1 -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict build/temp.linux-x86_64-cpython-310/torch/csrc/stub_with_flatbuffer.o -L/builddir/build/BUILD/pytorch-v2.0.1/torch/lib -L/usr/local/cuda/lib64/stubs -L/usr/lib64 -ltorch_python -lpython3.10 -o build/lib.linux-x86_64-cpython-310/torch/_C_flatbuffer.cpython-310-x86_64-linux-gnu.so -Wl,-rpath,$ORIGIN/lib ------------------------------------------------------------------------- | | | It is no longer necessary to use the 'build' or 'rebuild' targets | | | | To install: | | $ python setup.py install | | To develop locally: | | $ python setup.py develop | | To force cmake to re-generate native build files (off by default): | | $ python setup.py develop --cmake | | | ------------------------------------------------------------------------- + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.nPXjqF + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64 ++ dirname /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64 + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' + export CFLAGS + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection' + export CXXFLAGS + FFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -I/usr/lib64/gfortran/modules' + export FFLAGS + FCFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -I/usr/lib64/gfortran/modules' + export FCFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,--build-id=sha1 ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd pytorch-v2.0.1 + export BUILD_TEST=False + BUILD_TEST=False + export PYTORCH_BUILD_VERSION=2.0.1 + PYTORCH_BUILD_VERSION=2.0.1 + export PYTORCH_BUILD_NUMBER=1 + PYTORCH_BUILD_NUMBER=1 + export CUDAARCHS=all + CUDAARCHS=all + export CMAKE_CUDA_COMPILER=/usr/local/cuda-12.1/bin/nvcc + CMAKE_CUDA_COMPILER=/usr/local/cuda-12.1/bin/nvcc + export 'TORCH_CUDA_ARCH_LIST=6.0;6.1;7.0;7.5;8.0;8.6' + TORCH_CUDA_ARCH_LIST='6.0;6.1;7.0;7.5;8.0;8.6' + export 'CFLAGS=-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + CFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + export 'CXXFLAGS=-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + CXXFLAGS='-O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict' + mkdir /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr + python3 setup.py install --prefix /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr -- /usr/bin/g++ /builddir/build/BUILD/pytorch-v2.0.1/torch/abi-check.cpp -o /builddir/build/BUILD/pytorch-v2.0.1/build/abi-check -- Determined _GLIBCXX_USE_CXX11_ABI=1 -- Could not find ccache. Consider installing ccache to speed up compilation. -- Turning off deprecation warning due to glog. -- Current compiler supports avx2 extension. Will build perfkernels. -- Current compiler supports avx512f extension. Will build fbgemm. -- Found CUDA: /usr/local/cuda (found version "12.1") -- Caffe2: CUDA detected: 12.1 -- Caffe2: CUDA nvcc is: /usr/local/cuda-12.1/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda -- Caffe2: Header version is: 12.1 -- /usr/local/cuda/lib64/libnvrtc.so shorthash is b51b459d CMake Warning at cmake/public/utils.cmake:385 (message): In the future we will require one to explicitly pass TORCH_CUDA_ARCH_LIST to cmake instead of implicitly setting it as an env variable. This will become a FATAL_ERROR in future version of pytorch. Call Stack (most recent call first): cmake/public/cuda.cmake:362 (torch_cuda_get_nvcc_gencode_flag) cmake/Dependencies.cmake:43 (include) CMakeLists.txt:717 (include) -- Added CUDA NVCC flags for: -gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 -- Building using own protobuf under third_party per request. -- Use custom protobuf build. -- -- 3.13.0.0 -- Caffe2 protobuf include directory: $$ -- Trying to find preferred BLAS backend of choice: MKL -- MKL_THREADING = OMP -- MKL_THREADING = OMP CMake Warning at cmake/Dependencies.cmake:226 (message): MKL could not be found. Defaulting to Eigen Call Stack (most recent call first): CMakeLists.txt:717 (include) CMake Warning at cmake/Dependencies.cmake:263 (message): Preferred BLAS (MKL) cannot be found, now searching for a general BLAS library Call Stack (most recent call first): CMakeLists.txt:717 (include) -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- Using pocketfft in directory: /builddir/build/BUILD/pytorch-v2.0.1/third_party/pocketfft/ -- Brace yourself, we are building NNPACK -- NNPACK backend is x86-64 CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/fbgemm/CMakeLists.txt:85 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_C: -fopenmp CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/fbgemm/CMakeLists.txt:85 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_CXX: -fopenmp -- Found OpenMP: TRUE CMake Warning at third_party/fbgemm/CMakeLists.txt:87 (message): OpenMP found! OpenMP_C_INCLUDE_DIRS = CMake Warning at third_party/fbgemm/CMakeLists.txt:186 (message): ========== CMake Warning at third_party/fbgemm/CMakeLists.txt:187 (message): CMAKE_BUILD_TYPE = Release CMake Warning at third_party/fbgemm/CMakeLists.txt:188 (message): CMAKE_CXX_FLAGS_DEBUG is -g CMake Warning at third_party/fbgemm/CMakeLists.txt:189 (message): CMAKE_CXX_FLAGS_RELEASE is -O3 -DNDEBUG CMake Warning at third_party/fbgemm/CMakeLists.txt:190 (message): ========== ** AsmJit Summary ** ASMJIT_DIR=/builddir/build/BUILD/pytorch-v2.0.1/third_party/fbgemm/third_party/asmjit ASMJIT_TEST=FALSE ASMJIT_TARGET_TYPE=STATIC ASMJIT_DEPS=pthread;rt ASMJIT_LIBS=asmjit;pthread;rt ASMJIT_CFLAGS=-DASMJIT_STATIC ASMJIT_PRIVATE_CFLAGS=-Wall;-Wextra;-Wconversion;-fno-math-errno;-fno-threadsafe-statics;-fno-semantic-interposition;-DASMJIT_STATIC ASMJIT_PRIVATE_CFLAGS_DBG= ASMJIT_PRIVATE_CFLAGS_REL=-O2;-fmerge-all-constants;-fno-enforce-eh-specs -- Found Numa (include: /usr/include, library: /usr/lib64/libnuma.so) -- Using third party subdirectory Eigen. -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.10.12", minimum required is "3.0") -- Using third_party/pybind11. -- pybind11 include dirs: /builddir/build/BUILD/pytorch-v2.0.1/cmake/../third_party/pybind11/include -- Adding OpenMP CXX_FLAGS: -fopenmp -- Will link against OpenMP libraries: /usr/lib/gcc/x86_64-anolis-linux/12/libgomp.so;/usr/lib64/libpthread.a CMake Warning at cmake/External/nccl.cmake:69 (message): Enabling NCCL library slimming Call Stack (most recent call first): cmake/Dependencies.cmake:1357 (include) CMakeLists.txt:717 (include) -- Converting CMAKE_CUDA_FLAGS to CUDA_NVCC_FLAGS: CUDA_NVCC_FLAGS = -Xfatbin;-compress-all;-DONNX_NAMESPACE=onnx_torch;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-Xcudafe;--diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=implicit_return_from_non_void_function,--diag_suppress=unsigned_compare_with_zero,--diag_suppress=declared_but_not_referenced,--diag_suppress=bad_friend_decl;--expt-relaxed-constexpr;--expt-extended-lambda CUDA_NVCC_FLAGS_DEBUG = -g;-g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_RELEASE = -O3;-DNDEBUG CUDA_NVCC_FLAGS_RELWITHDEBINFO = -O2;-g;-DNDEBUG;-g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_MINSIZEREL = -O1;-DNDEBUG -- summary of build options: Install prefix: /builddir/build/BUILD/pytorch-v2.0.1/torch Target system: Linux Compiler: C compiler: /usr/bin/gcc CFLAGS: -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -- Converting CMAKE_CUDA_FLAGS to CUDA_NVCC_FLAGS: CUDA_NVCC_FLAGS = -Xfatbin;-compress-all;-DONNX_NAMESPACE=onnx_torch;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-Xcudafe;--diag_suppress=cc_clobber_ignored,--diag_suppress=integer_sign_change,--diag_suppress=useless_using_declaration,--diag_suppress=set_but_not_used,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=implicit_return_from_non_void_function,--diag_suppress=unsigned_compare_with_zero,--diag_suppress=declared_but_not_referenced,--diag_suppress=bad_friend_decl;--expt-relaxed-constexpr;--expt-extended-lambda CUDA_NVCC_FLAGS_DEBUG = -g;-g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_RELEASE = -O3;-DNDEBUG CUDA_NVCC_FLAGS_RELWITHDEBINFO = -O2;-g;-DNDEBUG;-g;-lineinfo;--source-in-ptx CUDA_NVCC_FLAGS_MINSIZEREL = -O1;-DNDEBUG -- Gloo build as SHARED library -- Found CUDA: /usr/local/cuda (found suitable version "12.1", minimum required is "7.0") -- CUDA detected: 12.1 -- Found PythonInterp: /usr/bin/python3 (found version "3.10.12") Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto Generated: /builddir/build/BUILD/pytorch-v2.0.1/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto -- -- ******** Summary ******** -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler version : 12.2.1 -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;__STDC_FORMAT_MACROS -- CMAKE_PREFIX_PATH : /usr/lib/python3.10/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- CMAKE_MODULE_PATH : /builddir/build/BUILD/pytorch-v2.0.1/cmake/Modules;/builddir/build/BUILD/pytorch-v2.0.1/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.13.1rc2 -- ONNX NAMESPACE : onnx_torch -- ONNX_USE_LITE_PROTO : OFF -- USE_PROTOBUF_SHARED_LIBS : OFF -- Protobuf_USE_STATIC_LIBS : ON -- ONNX_DISABLE_EXCEPTIONS : OFF -- ONNX_WERROR : OFF -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF -- -- ******** Summary ******** -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler version : 12.2.1 -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -Wnon-virtual-dtor -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1 -- CMAKE_PREFIX_PATH : /usr/lib/python3.10/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- CMAKE_MODULE_PATH : /builddir/build/BUILD/pytorch-v2.0.1/cmake/Modules;/builddir/build/BUILD/pytorch-v2.0.1/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.4.1 -- ONNX NAMESPACE : onnx_torch -- ONNX_BUILD_TESTS : OFF -- ONNX_BUILD_BENCHMARKS : OFF -- ONNX_USE_LITE_PROTO : OFF -- ONNXIFI_DUMMY_BACKEND : -- -- Protobuf compiler : -- Protobuf includes : -- Protobuf libraries : -- BUILD_ONNX_PYTHON : OFF -- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor -- Adding -DNDEBUG to compile flags -- Compiling with MAGMA support -- MAGMA INCLUDE DIRECTORIES: /usr/include -- MAGMA LIBRARIES: /usr/lib64/libmagma.so -- MAGMA V2 check: 0 -- Could not find hardware support for NEON on this machine. -- No OMAP3 processor on this machine. -- No OMAP4 processor on this machine. -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- LAPACK requires BLAS -- Cannot find a library with LAPACK API. Not using LAPACK. -- MIOpen not found. Compiling without MIOpen support disabling ROCM because NOT USE_ROCM is set -- Will build oneDNN Graph -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - gomp - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - gomp - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - iomp5 - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread - m - dl] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread - m - dl] -- Library mkl_intel: not found -- Checking for [mkl_gf_lp64 - mkl_core - pthread - m - dl] -- Library mkl_gf_lp64: not found -- Checking for [mkl_gf - mkl_core - pthread - m - dl] -- Library mkl_gf: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- MKLDNN_CPU_RUNTIME = OMP -- cmake version: 3.26.3 CMake Deprecation Warning at third_party/ideep/mkl-dnn/CMakeLists.txt:36 (cmake_policy): The OLD behavior for policy CMP0025 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. -- DNNL_TARGET_ARCH: X64 -- DNNL_LIBRARY_NAME: dnnl CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/OpenMP.cmake:69 (find_package) third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:117 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_C: -fopenmp CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/third_party/oneDNN/cmake/OpenMP.cmake:69 (find_package) third_party/ideep/mkl-dnn/third_party/oneDNN/CMakeLists.txt:117 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- Found OpenMP_CXX: -fopenmp -- Could NOT find Doxyrest (missing: DOXYREST_EXECUTABLE) -- Found PythonInterp: /usr/bin/python3 (found suitable version "3.10.12", minimum required is "2.7") -- Could NOT find Sphinx (missing: SPHINX_EXECUTABLE) -- Could NOT find Git (missing: GIT_EXECUTABLE) -- Enabled workload: TRAINING -- Enabled primitives: ALL -- Enabled primitive CPU ISA: ALL -- Enabled primitive GPU ISA: ALL -- Primitive cache is enabled -- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE) -- Cannot find Doxygen package -- Could NOT find Git (missing: GIT_EXECUTABLE) CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_C) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:62 (find_package) third_party/ideep/mkl-dnn/CMakeLists.txt:179 (include) This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at /usr/share/cmake/Modules/FindPackageHandleStandardArgs.cmake:438 (message): The package name passed to `find_package_handle_standard_args` (OpenMP_CXX) does not match the name of the calling package (OpenMP). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/Modules/FindOpenMP.cmake:584 (find_package_handle_standard_args) third_party/ideep/mkl-dnn/cmake/OpenMP.cmake:62 (find_package) third_party/ideep/mkl-dnn/CMakeLists.txt:179 (include) This warning is for project developers. Use -Wno-dev to suppress it. -- DNNL_GRAPH_BUILD_FOR_CI is set to be OFF -- Compiling oneDNN Graph with CPU runtime OMP support -- Compiling oneDNN Graph with GPU runtime NONE support -- Graph compiler backend is disabled. -- Set version definitions to /builddir/build/BUILD/pytorch-v2.0.1/third_party/ideep/mkl-dnn/src/utils/verbose.cpp -- Compiled partition cache is enabled -- Found MKL-DNN: TRUE -- Module support is disabled. -- Version: 9.1.0 -- Build type: Release -- CXX_STANDARD: 17 -- Required features: cxx_variadic_templates -- Using Kineto with CUPTI support -- Configuring Kineto dependency: -- KINETO_SOURCE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto -- KINETO_BUILD_TESTS = OFF -- KINETO_LIBRARY_TYPE = static -- CUDA_SOURCE_DIR = /usr/local/cuda -- CUDA_INCLUDE_DIRS = /usr/local/cuda/include -- CUPTI_INCLUDE_DIR = /usr/local/cuda/include -- CUDA_cupti_LIBRARY = /usr/local/cuda/lib64/libcupti.so -- Found CUPTI -- Found PythonInterp: /usr/bin/python3 (found version "3.10.12") INFO ROCM_SOURCE_DIR = -- Kineto: FMT_SOURCE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/fmt -- Kineto: FMT_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/fmt/include INFO CUPTI_INCLUDE_DIR = /usr/local/cuda/include INFO ROCTRACER_INCLUDE_DIR = /include/roctracer INFO DYNOLOG_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/ INFO IPCFABRIC_INCLUDE_DIR = /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog//dynolog/src/ipcfabric/ -- Configured Kineto -- GCC 12.2.1: Adding gcc and gcc_s libs to link line -- NUMA paths: -- /usr/include -- /usr/lib64/libnuma.so -- headers outputs: -- sources outputs: -- declarations_yaml outputs: -- Using ATen parallel backend: OMP CMake Deprecation Warning at third_party/sleef/CMakeLists.txt:91 (cmake_policy): The OLD behavior for policy CMP0066 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. -- Could NOT find OpenSSL, try to set the path to OpenSSL root folder in the system variable OPENSSL_ROOT_DIR (missing: OPENSSL_CRYPTO_LIBRARY OPENSSL_INCLUDE_DIR) -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Configuring build for SLEEF-v3.6.0 -- Using option `-Wall -Wno-unused -Wno-attributes -Wno-unused-result -Wno-psabi -ffp-contract=off -fno-math-errno -fno-trapping-math` to compile libsleef -- Building shared libs : OFF -- Building static test bins: OFF -- MPFR : LIB_MPFR-NOTFOUND -- GMP : LIBGMP-NOTFOUND -- RT : /usr/lib64/librt.a -- FFTW3 : LIBFFTW3-NOTFOUND -- OPENSSL : Target system: Linux-4.18.0-305.19.1.el8_4.x86_64 Target processor: x86_64 Host system: Linux-4.18.0-305.19.1.el8_4.x86_64 Host processor: x86_64 Detected C compiler: GNU @ /usr/bin/gcc CMake: 3.26.3 Make program: /usr/bin/gmake *** Note: Parallel build is only supported with Ninja *** -- SDE : SDE_COMMAND-NOTFOUND -- RUNNING_ON_TRAVIS : -- COMPILER_SUPPORTS_OPENMP : 1 AT_INSTALL_INCLUDE_DIR include/ATen/core core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/TensorBody.h core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/aten_interned_strings.h core header install: /builddir/build/BUILD/pytorch-v2.0.1/build/aten/src/ATen/core/enum_tag.h -- _GLIBCXX_USE_CXX11_ABI=1 is already defined as a cmake variable CMake Warning (dev) at torch/CMakeLists.txt:387: Syntax Warning in cmake code at column 107 Argument not separated from preceding token by whitespace. This warning is for project developers. Use -Wno-dev to suppress it. CMake Warning (dev) at torch/CMakeLists.txt:387: Syntax Warning in cmake code at column 115 Argument not separated from preceding token by whitespace. This warning is for project developers. Use -Wno-dev to suppress it. -- Using lib/python3.10/site-packages as python relative installation path CMake Warning at CMakeLists.txt:1078 (message): Generated cmake files are only fully tested if one builds with system glog, gflags, and protobuf. Other settings may generate files that are not well tested. -- -- ******** Summary ******** -- General: -- CMake version : 3.26.3 -- CMake command : /usr/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler id : GNU -- C++ compiler version : 12.2.1 -- Using ccache if found : ON -- Found ccache : CCACHE_PROGRAM-NOTFOUND -- CXX flags : -O2 -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -Wp,-D_GLIBCXX_ASSERTIONS -m64 -march=x86-64-v2 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -Wno-maybe-uninitialized -Wno-uninitialized -Wno-free-nonheap-object -Wno-restrict -D_GLIBCXX_USE_CXX11_ABI=1 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;ONNX_NAMESPACE=onnx_torch;HAVE_MMAP=1;_FILE_OFFSET_BITS=64;HAVE_SHM_OPEN=1;HAVE_SHM_UNLINK=1;HAVE_MALLOC_USABLE_SIZE=1;USE_EXTERNAL_MZCRC;MINIZ_DISABLE_ZIP_READER_CRC32_CHECKS;USE_FLASH_ATTENTION -- CMAKE_PREFIX_PATH : /usr/lib/python3.10/site-packages;/usr/local/cuda -- CMAKE_INSTALL_PREFIX : /builddir/build/BUILD/pytorch-v2.0.1/torch -- USE_GOLD_LINKER : OFF -- -- TORCH_VERSION : 2.0.1 -- CAFFE2_VERSION : 2.0.1 -- BUILD_CAFFE2 : OFF -- BUILD_CAFFE2_OPS : OFF -- BUILD_STATIC_RUNTIME_BENCHMARK: OFF -- BUILD_TENSOREXPR_BENCHMARK: OFF -- BUILD_NVFUSER_BENCHMARK: OFF -- BUILD_BINARY : OFF -- BUILD_CUSTOM_PROTOBUF : ON -- Link local protobuf : ON -- BUILD_DOCS : OFF -- BUILD_PYTHON : True -- Python version : 3.10.12 -- Python executable : /usr/bin/python3 -- Pythonlibs version : 3.10.12 -- Python library : /usr/lib64/libpython3.10.so.1.0 -- Python includes : /usr/include/python3.10 -- Python site-packages: lib/python3.10/site-packages -- BUILD_SHARED_LIBS : ON -- CAFFE2_USE_MSVC_STATIC_RUNTIME : OFF -- BUILD_TEST : False -- BUILD_JNI : OFF -- BUILD_MOBILE_AUTOGRAD : OFF -- BUILD_LITE_INTERPRETER: OFF -- INTERN_BUILD_MOBILE : -- TRACING_BASED : OFF -- USE_BLAS : 0 -- USE_LAPACK : 0 -- USE_ASAN : OFF -- USE_TSAN : OFF -- USE_CPP_CODE_COVERAGE : OFF -- USE_CUDA : ON -- Split CUDA : 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[ 7%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ConfigLoader.cpp.o [ 7%] Building CXX object third_party/kineto/libkineto/CMakeFiles/kineto_base.dir/src/ILoggerObserver.cpp.o [ 9%] Built target dnnl_common [ 10%] Built target c10 [ 10%] Built target sleefdetavx2 [ 10%] Built target dispsse_obj [ 10%] Built target dispavx_obj [ 11%] Built target foxi_loader [ 11%] Built target sleefavx2 [ 11%] Built target sleefdetavx512f [ 11%] Built target nnpack [ 11%] Built target cache [ 11%] Built target qnnpack [ 12%] Built target pytorch_qnnpack [ 13%] Built target operators [ 13%] Built target c10_cuda [ 13%] Built target fbgemm_generic [ 14%] Built target libprotobuf [ 14%] Built target fbgemm [ 14%] Built target subgraph [ 15%] Built target dnnl_cpu [ 16%] Built target tensorpipe [ 16%] Built target sleefdetavx512fnofma [ 16%] Built target sleefavx512f [ 16%] Built target XNNPACK [ 16%] Built target sleefdetfma4 [ 17%] Built target libprotobuf-lite [ 17%] Built target sleef [ 17%] Built target tensorpipe_cuda [ 18%] Built target libprotoc [ 18%] Built target protoc [ 18%] Built target gen_onnx_proto [ 18%] Built target Caffe2_PROTO [ 18%] Built target gen_onnx_operators_proto [ 18%] Built target gen_onnx_data_proto [ 18%] Built target caffe2_protos [ 18%] Built target ATEN_CUDA_FILES_GEN_TARGET [ 18%] Built target onnx_proto [ 22%] Built target dnnl_cpu_x64 [ 23%] Built target onnx [ 23%] Built target dnnl [ 23%] Built target dnnl_graph [ 23%] Built target ATEN_CPU_FILES_GEN_TARGET In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:12, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.cpp:11: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘auto dynolog::ipcfabric::EndPoint::buildCtxt_(const std::vector&, unsigned int) [with long unsigned int kMaxNumFds = 0]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:116:17: required from ‘auto dynolog::ipcfabric::EndPoint::buildSendCtxt(const std::string&, const std::vector&, const std::vector&) [with long unsigned int kMaxNumFds = 0; std::string = std::__cxx11::basic_string]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:126:36: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:238:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 238 | for (int i = 0; i < payload.size(); i++) { | ~~^~~~~~~~~~~~~~~~ In file included from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:12, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/IpcFabricConfigClient.h:21, from /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/DaemonConfigLoader.cpp:16: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘auto dynolog::ipcfabric::EndPoint::buildCtxt_(const std::vector&, unsigned int) [with long unsigned int kMaxNumFds = 0]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:116:17: required from ‘auto dynolog::ipcfabric::EndPoint::buildSendCtxt(const std::string&, const std::vector&, const std::vector&) [with long unsigned int kMaxNumFds = 0; std::string = std::__cxx11::basic_string]’ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:126:36: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:238:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 238 | for (int i = 0; i < payload.size(); i++) { | ~~^~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryPeekMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:155:33: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:174:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 174 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘const char* dynolog::ipcfabric::EndPoint::getName(const TCtxt&) const [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:170:43: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:185:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 185 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 186 | "Unexpected socket name: " + std::string(ctxt.msg_name.sun_path) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 187 | ". Expected to start with " + std::string(socket_dir)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:192:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 192 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | "Expected abstract socket, got " + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | std::string(ctxt.msg_name.sun_path)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryRcvMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:178:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:160:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 160 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryPeekMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:155:33: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:174:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 174 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘const char* dynolog::ipcfabric::EndPoint::getName(const TCtxt&) const [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:170:43: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:185:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 185 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 186 | "Unexpected socket name: " + std::string(ctxt.msg_name.sun_path) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 187 | ". Expected to start with " + std::string(socket_dir)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:192:9: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 192 | throw std::invalid_argument( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ 193 | "Expected abstract socket, got " + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | std::string(ctxt.msg_name.sun_path)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h: In instantiation of ‘bool dynolog::ipcfabric::EndPoint::tryRcvMsg(TCtxt&) [with long unsigned int kMaxNumFds = 0; TCtxt = dynolog::ipcfabric::EndPointCtxt<0>]’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/FabricManager.h:178:34: required from here /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/third_party/dynolog/dynolog/src/ipcfabric/Endpoint.h:160:5: warning: ‘throw’ will always call ‘terminate’ [-Wterminate] 160 | throw std::runtime_error(std::strerror(errno)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CudaDeviceProperties.cpp: In function ‘const std::vector libkineto::createDeviceProps()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CudaDeviceProperties.cpp:31:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 31 | for (size_t i = 0; i < device_count; ++i) { | ~~^~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp: In member function ‘std::string libkineto::AbstractConfig::toLower(std::string&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp:74:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 74 | for (int i = 0; i < res.size(); i++) { | ~~^~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp: In member function ‘bool libkineto::AbstractConfig::toBool(std::string&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/AbstractConfig.cpp:122:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::array, 8>::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 122 | for (int i = 0; i < bool_vals.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiCallbackApi.cpp: In member function ‘void libkineto::CuptiCallbackApi::__callback_switchboard(CUpti_CallbackDomain, CUpti_CallbackId, const CUpti_CallbackData*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiCallbackApi.cpp:148:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const size_t’ {aka ‘const long unsigned int’} [-Wsign-compare] 148 | it != cblist->end() && i < MAX_CB_FNS_PER_CB; | ~~^~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiActivityApi.cpp: In member function ‘void libkineto::CuptiActivityApi::bufferRequested(uint8_t**, size_t*, size_t*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiActivityApi.cpp:132:40: warning: comparison of integer expressions of different signedness: ‘std::map >::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 132 | if (allocatedGpuTraceBuffers_.size() >= maxGpuBufferCount_) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ [ 73%] Built target microkernels-all /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp: In member function ‘void libkineto::CuptiRangeProfilerSession::addRangeEvents(const libkineto::CuptiProfilerResult&, const libkineto::CuptiRBProfilerSession*)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp:152:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 152 | if (num_kernels != result.rangeVals.size()) { | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In constructor ‘libkineto::EventGroupSet::EventGroupSet(CUpti_EventGroupSet&, std::map&, libkineto::CuptiEventApi&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:166:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 166 | for (int g = 0; g < set.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/CuptiRangeProfiler.cpp:182:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 182 | for (int i = 0; i < metricNames.size(); i++) { | ~~^~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventGroupSet::collectSample()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:198:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 198 | for (int g = 0; g < set_.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:208:17: warning: comparison of integer expressions of different signedness: ‘int64_t’ {aka ‘long int’} and ‘uint64_t’ {aka ‘long unsigned int’} [-Wsign-compare] 208 | if (v == CUPTI_EVENT_OVERFLOW) { | ^ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventGroupSet::printDescription(std::ostream&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:228:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 228 | for (int g = 0; g < set_.numEventGroups; g++) { | ~~^~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventProfiler::initMetrics(const std::set >&)’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:267:19: warning: comparison of integer expressions of different signedness: ‘CUpti_MetricID’ {aka ‘unsigned int’} and ‘int’ [-Wsign-compare] 267 | if (metric_id == ~0) { | ~~~~~~~~~~^~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘bool libkineto::EventProfiler::initEventGroups()’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:314:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘uint32_t’ {aka ‘unsigned int’} [-Wsign-compare] 314 | for (int i = 0; i < eventGroupSets_->numSets; i++) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp: In member function ‘void libkineto::EventProfiler::printSets(std::ostream&) const’: /builddir/build/BUILD/pytorch-v2.0.1/third_party/kineto/libkineto/src/EventProfiler.cpp:514:21: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 514 | for (int i = 0; i < sets_.size(); i++) { | ~~^~~~~~~~~~~~~~ [ 73%] Built target kineto_base [ 73%] Linking CXX static library ../../../lib/libkineto.a [ 73%] Built target kineto [ 73%] Linking CXX shared library ../lib/libtorch_cpu.so [ 73%] Linking CXX static library ../../../lib/libgloo_cuda.a [ 73%] Built target gloo_cuda [ 90%] Built target torch_cpu [ 90%] Linking CXX shared library ../lib/libtorch_cuda.so [ 95%] Built target torch_cuda [ 95%] Building CXX object caffe2/CMakeFiles/torch.dir/__/empty.cpp.o [ 95%] Linking CXX shared library ../lib/libtorch.so [ 95%] Linking CXX shared library ../lib/libtorch_cuda_linalg.so [ 95%] Built target torch [ 95%] Linking CXX shared library ../../../../lib/libshm.so [ 95%] Built target torch_cuda_linalg [ 95%] Built target shm [ 95%] Linking CXX executable ../../../../bin/torch_shm_manager [ 95%] Built target torch_shm_manager [ 95%] Building CXX object third_party/nvfuser/CMakeFiles/nvfuser_codegen.dir/csrc/executor_utils.cpp.o [ 95%] Linking CXX shared library ../../lib/libtorch_python.so [ 97%] Built target torch_python [ 97%] Linking CXX shared library ../../lib/libnnapi_backend.so [ 97%] Linking CXX shared module functorch.so [ 97%] Built target functorch [ 97%] Built target nnapi_backend [ 97%] Linking CXX shared library ../../lib/libnvfuser_codegen.so [ 98%] Built target nvfuser_codegen [ 98%] Linking CXX shared module ../../nvfuser/nvfuser.so [100%] Built target nvfuser Install the project... -- Install configuration: "Release" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cuda_linalg.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libshm.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/bin/torch_shm_manager" to "$ORIGIN/../lib:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_python.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cpu.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch_cuda.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/torch/lib/libtorch.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/third_party/nvfuser/../../torch/lib/libnvfuser_codegen.so" to "$ORIGIN:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/third_party/nvfuser/../../nvfuser/nvfuser.so" to "$ORIGIN/../torch/lib:/usr/local/cuda/lib64" -- Set runtime path of "/builddir/build/BUILD/pytorch-v2.0.1/functorch/functorch.so" to "$ORIGIN/../torch/lib:/usr/local/cuda/lib64" Building wheel torch-2.0.1 -- Building version 2.0.1 cmake3 --build . --target install --config Release -- -j 80 running install /usr/lib/python3.10/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. warnings.warn( running build running build_py copying torch/bin/torch_shm_manager -> build/lib.linux-x86_64-cpython-310/torch/bin copying torch/lib/libtorch_cuda_linalg.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libshm.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_python.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_cpu.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch_cuda.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libtorch.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torch/lib/libnvfuser_codegen.so -> build/lib.linux-x86_64-cpython-310/torch/lib copying torchgen/packaged/ATen/native/native_functions.yaml -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native copying torchgen/packaged/ATen/native/tags.yaml -> build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native running build_ext -- Building with NumPy bindings -- Detected cuDNN at , -- Detected CUDA at /usr/local/cuda -- Using MKLDNN -- Not using Compute Library for the Arm architecture with MKLDNN -- Not using CBLAS in MKLDNN -- Building NCCL library -- Building with distributed package: -- USE_TENSORPIPE=True -- USE_GLOO=True -- USE_MPI=False -- Building Executorch -- Using ITT -- Building nvfuser Copying functorch._C from functorch/functorch.so to /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/functorch/_C.cpython-310-x86_64-linux-gnu.so copying functorch/functorch.so -> /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/functorch/_C.cpython-310-x86_64-linux-gnu.so Copying nvfuser._C from nvfuser/nvfuser.so to /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/nvfuser/_C.cpython-310-x86_64-linux-gnu.so copying nvfuser/nvfuser.so -> /builddir/build/BUILD/pytorch-v2.0.1/build/lib.linux-x86_64-cpython-310/nvfuser/_C.cpython-310-x86_64-linux-gnu.so running install_lib creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64 creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10 creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_deploy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/hub.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/storage.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_sources.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_classes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/torch_version.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_lobpcg.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_torch_docs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/quasirandom.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/serialization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_lowrank.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_weights_only_unpickler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/__future__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_VF.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/__config__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/overrides.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_utils_internal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_meta_registrations.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_vmap_internals.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/library.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_storage_docs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_guards.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_jit_internal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/return_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_appdirs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_tensor_str.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_tensor_docs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_linalg_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_namedtensor_internals.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/random.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_python_dispatcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/version.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/lowering.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/mkldnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/fx_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/optimize_indexing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codecache.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/virtualized.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/exc.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/ir.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/debug.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/pattern_matcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/cuda_properties.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/overrides.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/test_operators.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/decomposition.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/compile_fx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/sizevars.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/dependencies.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/select_algorithm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor copying build/lib.linux-x86_64-cpython-310/torch/_inductor/metrics.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/triton.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/cpp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/wrapper.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/autotuner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen copying build/lib.linux-x86_64-cpython-310/torch/_inductor/codegen/cpp_prefix.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/conv_perf_model.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/conv1x1.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops copying build/lib.linux-x86_64-cpython-310/torch/_inductor/triton_ops/autotune.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel copying build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel/mm_plus_mm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel copying build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel/bmm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel copying build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel/mm_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel copying build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel copying build/lib.linux-x86_64-cpython-310/torch/_inductor/kernel/mm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/sparse copying build/lib.linux-x86_64-cpython-310/torch/sparse/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/sparse creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked copying build/lib.linux-x86_64-cpython-310/torch/masked/_docs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked copying build/lib.linux-x86_64-cpython-310/torch/masked/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked copying build/lib.linux-x86_64-cpython-310/torch/masked/_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/reductions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/core.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/unary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/_ops_refs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/creation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/passthrough.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor copying build/lib.linux-x86_64-cpython-310/torch/masked/maskedtensor/binary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims_common copying build/lib.linux-x86_64-cpython-310/torch/_prims_common/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims_common copying build/lib.linux-x86_64-cpython-310/torch/_prims_common/wrappers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims_common creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/func copying build/lib.linux-x86_64-cpython-310/torch/func/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/func creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/pytree_hacks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/functional_call.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/python_key.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/aot_autograd.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/benchmark_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/compilers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/autograd_function.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/make_functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/eager_transforms.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/fx_minifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/pyfunctorch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/top_operators_github_usage.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/partitioners.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/batch_norm_replacement.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/deprecated.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/vmap.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch copying build/lib.linux-x86_64-cpython-310/torch/_functorch/compile_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/half_cauchy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/categorical.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/gumbel.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/continuous_bernoulli.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/pareto.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/kl.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/one_hot_categorical.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/lowrank_multivariate_normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/lkj_cholesky.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/beta.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/dirichlet.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/multinomial.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/gamma.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/kumaraswamy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/exponential.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/independent.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/cauchy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/distribution.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/relaxed_categorical.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/transforms.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/transformed_distribution.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/constraint_registry.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/relaxed_bernoulli.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/von_mises.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/half_normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/chi2.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/weibull.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/mixture_same_family.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/negative_binomial.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/constraints.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/geometric.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/fishersnedecor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/binomial.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/log_normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/uniform.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/bernoulli.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/exp_family.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/wishart.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/poisson.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/laplace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/logistic_normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/studentT.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions copying build/lib.linux-x86_64-cpython-310/torch/distributions/multivariate_normal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/ts_backend.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/tensor_factory_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/debug.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/computation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/ir_cache.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/closure.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/extract_compiled_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/device_context.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy copying build/lib.linux-x86_64-cpython-310/torch/_lazy/metrics.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dispatch copying build/lib.linux-x86_64-cpython-310/torch/_dispatch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dispatch copying build/lib.linux-x86_64-cpython-310/torch/_dispatch/python.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dispatch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/init.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/grad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/_reduction.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/cpp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/common_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/parameter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/distributed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/_replicated_tensor_ddp_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/scatter_gather.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/_replicated_tensor_ddp_interop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/replicate.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/parallel_apply.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/data_parallel.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/comm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/parallel_apply.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/__init__.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/replicate.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/scatter_gather.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/data_parallel.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/nn/parallel/common_types.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/backends copying build/lib.linux-x86_64-cpython-310/torch/nn/backends/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/backends copying build/lib.linux-x86_64-cpython-310/torch/nn/backends/thnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/backends creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules/embedding_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/qat/dynamic/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/pooling.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/loss.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/instancenorm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/distance.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/sparse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/padding.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/container.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/dropout.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/lazy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/flatten.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/fold.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/normalization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/batchnorm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/transformer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/adaptive.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/upsampling.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/channelshuffle.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/modules/pixelshuffle.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules/conv_fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules/linear_fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/qat/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/modules/fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules/bn_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules/conv_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/intrinsic/quantized/dynamic/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/init.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_named_member_accessor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/parametrize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/fusion.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/clip_grad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/weight_norm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_per_sample_grad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_deprecation_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/stateless.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/convert_parameters.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/memory_format.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/spectral_norm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/parametrizations.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/prune.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/conv_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/linear_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/embedding_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/conv_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/expanded_weights_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/group_norm_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/layer_norm_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/instance_norm_expanded_weights.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights copying build/lib.linux-x86_64-cpython-310/torch/nn/utils/_expanded_weights/expanded_weights_impl.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/functional_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/dropout.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/normalization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/batchnorm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/embedding_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/sparse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/_reference/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantized/dynamic/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable copying build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/quantizable/modules/activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/nn/parameter.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/nn/functional.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/contrib copying build/lib.linux-x86_64-cpython-310/torch/contrib/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/contrib copying build/lib.linux-x86_64-cpython-310/torch/contrib/_tensorboard_vis.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/contrib creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs copying build/lib.linux-x86_64-cpython-310/torch/_refs/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs copying build/lib.linux-x86_64-cpython-310/torch/_refs/_conversions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs copying build/lib.linux-x86_64-cpython-310/torch/_refs/fft.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn copying build/lib.linux-x86_64-cpython-310/torch/_refs/nn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/_refs/nn/functional/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn/functional creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/linalg copying build/lib.linux-x86_64-cpython-310/torch/_refs/linalg/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/linalg creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/special copying build/lib.linux-x86_64-cpython-310/torch/_refs/special/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/special creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao copying build/lib.linux-x86_64-cpython-310/torch/ao/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/sparse/quantized/dynamic/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules/embedding_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/qat/dynamic/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules/conv_fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules/linear_fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/qat/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/modules/fused.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules/conv_add.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules/bn_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules/conv_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/functional_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/dropout.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/normalization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/batchnorm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/embedding_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/sparse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/reference/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules/conv.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantized/dynamic/modules/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules copying build/lib.linux-x86_64-cpython-310/torch/ao/nn/quantizable/modules/activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/_numeric_suite_fx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/_numeric_suite.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/graph_matcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/n_shadows_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/qconfig_multi_mapping.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/pattern_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/graph_passes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/ns_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/ns/fx/weight_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/quantize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/quantize_jit.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fuse_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/observer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/qconfig.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_equalize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/quant_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/quantization_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_quantize_pt2e.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/quantize_fx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fuser_method_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_learnable_fake_quantize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/stubs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_correct_bias.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/qconfig_mapping.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fake_quantize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/custom_config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_equalize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/fuse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_lower_to_native_backend.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_decomposed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/prepare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/fuse_handler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/pattern_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/qconfig_mapping_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/graph_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/tracer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/quantize_handler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/match_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/lower_to_qnnpack.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/convert.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/lower_to_fbgemm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report/model_report_observer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report/model_report.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report/detector.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/fx/_model_report/model_report_visualizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/_qnnpack_pt2e.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/native.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/fbgemm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/observation_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/_common_operator_config_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/backend_config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/tensorrt.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/qnnpack.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/x86.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/onednn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/backend_config/executorch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_pt2e copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_pt2e/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_pt2e copying build/lib.linux-x86_64-cpython-310/torch/ao/quantization/_pt2e/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_pt2e creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier/base_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier/nearly_diagonal_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/sparsifier/weight_norm_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler/lambda_scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler/base_scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler/cubic_scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/scheduler/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/quantization_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/data_norm_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/data_sparsity.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/_data_sparstity_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/activation_sparsifier/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_scheduler/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/saliency_pruner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/base_structured_sparsifier.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/prune_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/parametrization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/lstm_saliency_pruner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner copying build/lib.linux-x86_64-cpython-310/torch/ao/pruning/_experimental/pruner/match_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/profiler_legacy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/forward_ad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/variable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/profiler_util.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/anomaly_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/grad_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/gradcheck.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd copying build/lib.linux-x86_64-cpython-310/torch/autograd/function.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions copying build/lib.linux-x86_64-cpython-310/torch/autograd/_functions/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions copying build/lib.linux-x86_64-cpython-310/torch/autograd/_functions/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions copying build/lib.linux-x86_64-cpython-310/torch/autograd/_functions/tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends copying build/lib.linux-x86_64-cpython-310/torch/backends/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkldnn copying build/lib.linux-x86_64-cpython-310/torch/backends/mkldnn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkldnn creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/opt_einsum copying build/lib.linux-x86_64-cpython-310/torch/backends/opt_einsum/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/opt_einsum creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xnnpack copying build/lib.linux-x86_64-cpython-310/torch/backends/xnnpack/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xnnpack creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_coreml copying build/lib.linux-x86_64-cpython-310/torch/backends/_coreml/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_coreml copying build/lib.linux-x86_64-cpython-310/torch/backends/_coreml/preprocess.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_coreml creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xeon copying build/lib.linux-x86_64-cpython-310/torch/backends/xeon/run_cpu.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xeon copying build/lib.linux-x86_64-cpython-310/torch/backends/xeon/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xeon creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/quantized copying build/lib.linux-x86_64-cpython-310/torch/backends/quantized/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mps copying build/lib.linux-x86_64-cpython-310/torch/backends/mps/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mps creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/openmp copying build/lib.linux-x86_64-cpython-310/torch/backends/openmp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/openmp creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cudnn copying build/lib.linux-x86_64-cpython-310/torch/backends/cudnn/rnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cudnn copying build/lib.linux-x86_64-cpython-310/torch/backends/cudnn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cudnn creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cuda copying build/lib.linux-x86_64-cpython-310/torch/backends/cuda/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkl copying build/lib.linux-x86_64-cpython-310/torch/backends/mkl/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkl creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi copying build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi/prepare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi copying build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi/serializer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi copying build/lib.linux-x86_64-cpython-310/torch/backends/_nnapi/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adadelta.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/lbfgs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/rmsprop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/sgd.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/_functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/radam.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adamw.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/rprop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/asgd.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/swa_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/lr_scheduler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adagrad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/nadam.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adamax.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/sparse_adam.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adam.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/_multi_tensor copying build/lib.linux-x86_64-cpython-310/torch/optim/_multi_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/_multi_tensor copying build/lib.linux-x86_64-cpython-310/torch/optim/asgd.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/lr_scheduler.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/__init__.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/radam.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/rmsprop.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/lbfgs.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adadelta.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adamax.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adagrad.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/sparse_adam.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/optimizer.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adamw.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/adam.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/rprop.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/sgd.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/nadam.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/optim/swa_utils.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_recursive.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/frontend.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_async.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_trace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_decomposition_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/unsupported_tensor_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_decompositions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/annotations.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_check.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_shape_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_monkeytype_config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_await.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_logging.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/supported_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/quantized.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_serialization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_state.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_builtins.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_dataclass_impls.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/generate_bytecode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_script.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_fuser.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_pickle.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_ir_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit copying build/lib.linux-x86_64-cpython-310/torch/jit/_freeze.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/jit/mobile/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/mobile creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_passes copying build/lib.linux-x86_64-cpython-310/torch/jit/_passes/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_passes copying build/lib.linux-x86_64-cpython-310/torch/jit/_passes/_property_propagation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_passes creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/futures copying build/lib.linux-x86_64-cpython-310/torch/futures/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/futures creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nested copying build/lib.linux-x86_64-cpython-310/torch/nested/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nested creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_cuda_trace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_zip.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_pytree.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_cpp_extension_versioner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/dlpack.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/mkldnn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/checkpoint.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_foreach_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_crash_handler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_contextlib.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/show_pickle.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/backend_registration.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_mode_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/model_zoo.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/cpp_extension.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/file_baton.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_traceback.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/collect_env.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_device.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/weak.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_python_dispatch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/throughput_benchmark.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/cpp_backtrace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_stats.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/_freeze.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/bundled_inputs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/mobile_optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/__main__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/skeleton.html -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/code.js -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/preact.mjs -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump copying build/lib.linux-x86_64-cpython-310/torch/utils/model_dump/htm.mjs -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/jit copying build/lib.linux-x86_64-cpython-310/torch/utils/jit/log_extract.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/jit copying build/lib.linux-x86_64-cpython-310/torch/utils/jit/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/jit creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_sympy copying build/lib.linux-x86_64-cpython-310/torch/utils/_sympy/value_ranges.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_sympy copying build/lib.linux-x86_64-cpython-310/torch/utils/_sympy/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_sympy creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/op_benchmark.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/blas_compare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/simple_timeit.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/fuzzer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/end_to_end.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/spectral_ops_fuzz_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/blas_compare_setup.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/examples/compare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/sparse_fuzzer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/timer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/_stubs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/fuzzer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/cpp_jit.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/compare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/compat_bindings.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/timer_callgrind_template.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/callgrind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/valgrind_wrapper/valgrind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/utils/timeit_template.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/spectral.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/unary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/sparse_unary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/sparse_binary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers copying build/lib.linux-x86_64-cpython-310/torch/utils/benchmark/op_fuzzers/binary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/backcompat copying build/lib.linux-x86_64-cpython-310/torch/utils/backcompat/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/backcompat creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bottleneck copying build/lib.linux-x86_64-cpython-310/torch/utils/bottleneck/__main__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bottleneck copying build/lib.linux-x86_64-cpython-310/torch/utils/bottleneck/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bottleneck creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/distributed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/dataset.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/graph_settings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/dataloader.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/sampler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data copying build/lib.linux-x86_64-cpython-310/torch/utils/data/backward_compatibility.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/_typing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/datapipe.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/_hook_iterator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/_decorator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/gen_pyi.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/combining.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/combinatorics.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/grouping.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/map/callable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils/decoder.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/utils/snapshot.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/sharding.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/combining.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/routeddecoder.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/filelister.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/fileopener.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/streamreader.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/selecting.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/combinatorics.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/grouping.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/iter/callable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe/dataframes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe/dataframe_wrapper.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe/structures.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/dataframe/datapipes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe copying build/lib.linux-x86_64-cpython-310/torch/utils/data/datapipes/datapipe.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/signal_handling.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/collate.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/serialization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/fetch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/worker.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils copying build/lib.linux-x86_64-cpython-310/torch/utils/data/_utils/pin_memory.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify copying build/lib.linux-x86_64-cpython-310/torch/utils/hipify/hipify_python.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify copying build/lib.linux-x86_64-cpython-310/torch/utils/hipify/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify copying build/lib.linux-x86_64-cpython-310/torch/utils/hipify/version.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify copying build/lib.linux-x86_64-cpython-310/torch/utils/hipify/cuda_to_hip_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify copying build/lib.linux-x86_64-cpython-310/torch/utils/hipify/constants.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_proto_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_convert_np.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/summary.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_embedding.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_caffe2_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/writer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_pytorch_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard copying build/lib.linux-x86_64-cpython-310/torch/utils/tensorboard/_onnx_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses copying build/lib.linux-x86_64-cpython-310/torch/_subclasses/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses copying build/lib.linux-x86_64-cpython-310/torch/_subclasses/meta_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses copying build/lib.linux-x86_64-cpython-310/torch/_subclasses/fake_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses copying build/lib.linux-x86_64-cpython-310/torch/_subclasses/fake_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/spawn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/_atfork.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/reductions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/queue.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/multiprocessing/pool.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/linalg copying build/lib.linux-x86_64-cpython-310/torch/linalg/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/linalg creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_awaits copying build/lib.linux-x86_64-cpython-310/torch/_awaits/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_awaits creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/itt.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/_memory_profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/_pattern_matcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler copying build/lib.linux-x86_64-cpython-310/torch/profiler/python_tracer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/_pytree.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/operator_schemas.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/traceback.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/_compatibility.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/tensor_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/annotate.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/proxy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/graph_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/_symbolic_trace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/interpreter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/subgraph_rewriter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/node.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx copying build/lib.linux-x86_64-cpython-310/torch/fx/immutable_collections.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/normalize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/optimization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/merge_matmul.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/symbolic_shapes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/rewriter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/graph_gradual_typechecker.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/debug.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unify_refinements.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/partitioner_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/proxy_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/schema_type_annotation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/accelerator_partitioner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/const_fold.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/meta_tracer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/refinement_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/constraint_generator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/constraint_transformation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/z3_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/transform_to_z3.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/util.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/operation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/migrate_gradual_types/constraint.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/variable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/match.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/more.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/core.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/unification_tools.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/dispatch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/dispatcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/core.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/conflict.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch copying build/lib.linux-x86_64-cpython-310/torch/fx/experimental/unification/multipledispatch/variadic.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/graph_drawer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/splitter_base.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/tools_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/split_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/annotate_getitem_nodes.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/fake_tensor_prop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/operator_support.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/param_fetch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/reinplace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/split_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/graph_manipulation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/net_min_base.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/shape_prop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/pass_manager.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/common copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/common/cse_pass.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/common copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/dialect/common/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/common creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/backends copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/backends/cudagraphs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/backends copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/backends/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/backends creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra/partitioner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra/pass_base.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/infra/pass_manager.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils/matcher_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils/fuser_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/utils/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tests copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/tests/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tests copying build/lib.linux-x86_64-cpython-310/torch/fx/passes/tests/test_pass_manager.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tests creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/special copying build/lib.linux-x86_64-cpython-310/torch/special/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/special creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/amp copying build/lib.linux-x86_64-cpython-310/torch/amp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/amp copying build/lib.linux-x86_64-cpython-310/torch/amp/autocast_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/amp creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_export copying build/lib.linux-x86_64-cpython-310/torch/_export/logical_schema.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_export copying build/lib.linux-x86_64-cpython-310/torch/_export/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_export creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp copying build/lib.linux-x86_64-cpython-310/torch/_decomp/decompositions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp copying build/lib.linux-x86_64-cpython-310/torch/_decomp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp copying build/lib.linux-x86_64-cpython-310/torch/_decomp/decompositions_for_jvp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/monitor copying build/lib.linux-x86_64-cpython-310/torch/monitor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/monitor creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/glob_group.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_stdlib.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/package_importer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_directory_reader.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/file_structure_representation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_digraph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/importer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/package_exporter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/find_file_dependencies.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_mangling.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_mock.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_importlib.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_package_unpickler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package copying build/lib.linux-x86_64-cpython-310/torch/package/_package_pickler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze copying build/lib.linux-x86_64-cpython-310/torch/package/analyze/is_from_package.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze copying build/lib.linux-x86_64-cpython-310/torch/package/analyze/trace_dependencies.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze copying build/lib.linux-x86_64-cpython-310/torch/package/analyze/find_first_use_of_broken_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze copying build/lib.linux-x86_64-cpython-310/torch/package/analyze/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/mps copying build/lib.linux-x86_64-cpython-310/torch/mps/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/mps creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims copying build/lib.linux-x86_64-cpython-310/torch/_prims/executor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims copying build/lib.linux-x86_64-cpython-310/torch/_prims/nvfuser_executor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims copying build/lib.linux-x86_64-cpython-310/torch/_prims/context.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims copying build/lib.linux-x86_64-cpython-310/torch/_prims/nvfuser_prims.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims copying build/lib.linux-x86_64-cpython-310/torch/_prims/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset8.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_experimental.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset15.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/verification.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset10.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_helper.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_type_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset17.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset16.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_onnx_supported_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/errors.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_exporter_states.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset18.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_globals.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset12.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/operators.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset11.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset13.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset14.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_deprecation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset9.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_constants.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_caffe2.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx copying build/lib.linux-x86_64-cpython-310/torch/onnx/symbolic_opset7.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/onnx_proto_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/jit_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/registration.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/_beartype.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/diagnostics.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/context.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/exporter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/options.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/fx/function_dispatcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/_rules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/_diagnostic.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/_infra.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/formatter.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/engine.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/decorator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_graph_traversal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_message.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_change.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_version_control_details.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_external_properties.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_result.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_tool_component_reference.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_node.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_location.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_run.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_rectangle.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_run_automation_details.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_content.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_configuration_override.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_conversion.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_edge.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_sarif_log.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_exception.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_edge_traversal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_result_provenance.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_suppression.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_reference.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_web_response.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_fix.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_special_locations.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_references.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_notification.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_replacement.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_invocation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_web_request.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_stack.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_tool.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_multiformat_message_string.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_code_flow.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/version.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_logical_location.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_reference.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_region.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_property_bag.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_translation_metadata.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_stack_frame.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow_location.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_location.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_tool_component.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_location_relationship.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_artifact.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_relationship.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_address.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_physical_location.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_attachment.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif copying build/lib.linux-x86_64-cpython-310/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_configuration.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing copying build/lib.linux-x86_64-cpython-310/torch/testing/_comparison.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing copying build/lib.linux-x86_64-cpython-310/torch/testing/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing copying build/lib.linux-x86_64-cpython-310/torch/testing/_creation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/logging_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/composite_compliance.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_fsdp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_dist_composable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_device_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_quantization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_jit.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/check_kernel_launches.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_quantized.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_methods_invocations.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/autograd_function_db.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/inductor_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_distributed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_subclass.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_pruning.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/quantization_torch_package_models.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/jit_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/autocast_test_lists.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_cuda.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_dtype.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/schema_check_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/dist_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/hypothesis_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/jit_metaprogramming_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/common_nn.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/generated copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/generated/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/generated copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/generated/annotated_fn_args.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/generated creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/codegen copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/codegen/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/codegen copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/codegen/random_topo_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/codegen creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data/network2.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/data/network1.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/core.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/refs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/signal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/linalg.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/_masked.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/special.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/opinfo/definitions/fft.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/distributed_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/distributed_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/pipe_with_ddp_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/multi_threaded_pg.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/checkpoint_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/api copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/api/remote_module_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/api copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/nn/api/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_tensor/common_dtensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/pipeline copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/pipeline/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/pipeline creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/test_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor/_test_st_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/_shard/sharded_tensor/_test_ops_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/dist_optimizer_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/rpc_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/faulty_rpc_agent_test_fixture.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/faulty_agent_rpc_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/dist_autograd_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/rpc_agent_test_fixture.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/tensorpipe_rpc_agent_test_fixture.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples/parameter_server_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples/reinforcement_learning_rpc_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/examples/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit/rpc_test_faulty.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit/rpc_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module/no_future_div.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module/future_div.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module copying build/lib.linux-x86_64-cpython-310/torch/testing/_internal/test_module/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/quantize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/quantize_jit.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/fuse_modules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/_numeric_suite_fx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/observer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/qconfig.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/quant_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/quantization_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/quantize_fx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/fuser_method_mappings.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/_numeric_suite.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/stubs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization copying build/lib.linux-x86_64-cpython-310/torch/quantization/fake_quantize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/_equalize.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/fuse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/fusion_patterns.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/prepare.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/quantization_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/pattern_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/graph_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/quantization_patterns.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/match_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx copying build/lib.linux-x86_64-cpython-310/torch/quantization/fx/convert.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/launch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/c10d_error_logger.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/remote_device.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/rendezvous.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/logging_handlers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/argparse_util.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable_state.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/distributed_c10d.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/run.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed copying build/lib.linux-x86_64-cpython-310/torch/distributed/constants.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/planner_helpers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/storage.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/_traverse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/_sharded_tensor_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/planner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/_nested_dict.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/filesystem.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/_dedup_tensors.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/metadata.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/default_planner.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/state_dict_saver.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/resharding.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/state_dict_loader.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/checkpoint/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/wrap.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_trace_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_fsdp_extensions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_state_dict_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_limiter_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_traversal_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_unshard_param_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_init_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_shard_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_dynamo_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_common_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/fully_sharded_data_parallel.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_exec_order_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_runtime_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/sharded_grad_scaler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/flat_param.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_wrap_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp copying build/lib.linux-x86_64-cpython-310/torch/distributed/fsdp/_optim_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/join.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_checkpoint/checkpoint_wrapper.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_checkpoint/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_checkpoint creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/model_averaging/averagers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_comm_hooks/default_hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_comm_hooks/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_comm_hooks creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/ddp_zero_hook.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/optimizer_overlap_hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_quantization copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_quantization/quantization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_quantization copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_quantization/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_quantization creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_optimizer_overlap copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_optimizer_overlap/optimizer_overlap.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_optimizer_overlap copying build/lib.linux-x86_64-cpython-310/torch/distributed/algorithms/_optimizer_overlap/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_optimizer_overlap creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/functional.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/instantiator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/templates copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/templates/remote_module_template.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/templates copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/jit/templates/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/templates creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/api copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/api/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/api copying build/lib.linux-x86_64-cpython-310/torch/distributed/nn/api/remote_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launcher copying build/lib.linux-x86_64-cpython-310/torch/distributed/launcher/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launcher copying build/lib.linux-x86_64-cpython-310/torch/distributed/launcher/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launcher creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/autograd copying build/lib.linux-x86_64-cpython-310/torch/distributed/autograd/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/autograd creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharding_spec copying build/lib.linux-x86_64-cpython-310/torch/distributed/_sharding_spec/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharding_spec creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/post_localSGD_optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_adam.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_sgd.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/zero_redundancy_optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_rprop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/named_optimizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_rmsprop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_adamax.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/apply_optimizer_in_backward.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_adadelta.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_adagrad.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/optim/functional_adamw.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/checkpoint_activation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/contract.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/_ddp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/replicate.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable copying build/lib.linux-x86_64-cpython-310/torch/distributed/_composable/fully_shard.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/redistribute.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/placement_types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/dispatch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/op_schema.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/device_mesh.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/sharding_prop.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/matrix_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/math_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/pointwise_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/view_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/tensor_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tensor/ops/common_rules.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/_view_with_dim_change.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/multihead_attention_tp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/style.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel copying build/lib.linux-x86_64-cpython-310/torch/distributed/tensor/parallel/fsdp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_sharded_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharded_tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server/local_elastic_agent.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/agent/server/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/metrics copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/metrics/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/metrics copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/metrics/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/metrics creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events/handlers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/events/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/logging.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/distributed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/log_level.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/store.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data/cycling_iterator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/utils/data/elastic_distributed_sampler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/tail_log.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/redirects.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors/handlers.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors/error_handler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/multiprocessing/errors/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer/local_timer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer/file_based_local_timer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/timer/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/etcd_server.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/registry.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/etcd_rendezvous_backend.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/etcd_store.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous copying build/lib.linux-x86_64-cpython-310/torch/distributed/elastic/rendezvous/etcd_rendezvous.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_spmd copying build/lib.linux-x86_64-cpython-310/torch/distributed/_spmd/comm_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_spmd copying build/lib.linux-x86_64-cpython-310/torch/distributed/_spmd/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_spmd creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tools copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tools/memory_tracker.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tools copying build/lib.linux-x86_64-cpython-310/torch/distributed/_tools/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tools creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/pipe.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/microbatch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/checkpoint.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/pipeline.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/stream.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/phony.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/copy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/dependency.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/batchnorm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/worker.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/tracker.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/skippable.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/namespace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/portal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/skip/layout.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance/blockpartition.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance copying build/lib.linux-x86_64-cpython-310/torch/distributed/pipeline/sync/_balance/profile.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/partial_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/replicated_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharder.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/common_op_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/metadata.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/op_registry_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/checkpoint copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/checkpoint/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/checkpoint creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/reshard.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/metadata.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/shard.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/init.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/matrix_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/math_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/binary_cmp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/chunk.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/misc_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/tensor_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_tensor/_ops/elementwise_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/_internals.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/matrix_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/math_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding_bag.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/softmax.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/linear.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_plan copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_plan/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_plan copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharding_plan/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_plan creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_optim/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_optim copying build/lib.linux-x86_64-cpython-310/torch/distributed/_shard/sharded_optim/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_optim creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/backend_registry.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/internal.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/rref_proxy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/options.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/api.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/server_process_global_profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/constants.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_testing copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_testing/faulty_agent_backend_registry.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_testing copying build/lib.linux-x86_64-cpython-310/torch/distributed/rpc/_testing/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_testing creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fft copying build/lib.linux-x86_64-cpython-310/torch/fft/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fft creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/sparse.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/_sanitizer.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/error.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/streams.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/nvtx.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/memory.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/jiterator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/graphs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/comm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/_memory_viz.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/nccl.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda copying build/lib.linux-x86_64-cpython-310/torch/cuda/random.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp copying build/lib.linux-x86_64-cpython-310/torch/cuda/amp/grad_scaler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp copying build/lib.linux-x86_64-cpython-310/torch/cuda/amp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp copying build/lib.linux-x86_64-cpython-310/torch/cuda/amp/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp copying build/lib.linux-x86_64-cpython-310/torch/cuda/amp/autocast_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/logging.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/mutation_guard.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/testing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/test_minifier_common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/hooks.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/skipfiles.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/exc.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/replay_record.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/allowed_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/side_effects.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/codegen.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/debug_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/symbolic_convert.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/output_graph.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/test_case.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/resume_execution.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/profiler.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/config_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/convert_frame.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/guards.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/source.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/bytecode_analysis.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/comptime.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/external_utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/eval_frame.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/bytecode_transformation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/distributed.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/torchxla.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/cudagraphs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/nvfuser.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/inductor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/tensorrt.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/registry.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/common.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/onnxrt.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/debugging.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/ipex.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/backends/tvm.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/base.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/builtin.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/user_defined.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/torch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/builder.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/constant.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/lists.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/nn_module.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/misc.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables copying build/lib.linux-x86_64-cpython-310/torch/_dynamo/variables/dicts.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal copying build/lib.linux-x86_64-cpython-310/torch/signal/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/windows copying build/lib.linux-x86_64-cpython-310/torch/signal/windows/windows.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/windows copying build/lib.linux-x86_64-cpython-310/torch/signal/windows/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/windows creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu copying build/lib.linux-x86_64-cpython-310/torch/cpu/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/amp copying build/lib.linux-x86_64-cpython-310/torch/cpu/amp/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/amp copying build/lib.linux-x86_64-cpython-310/torch/cpu/amp/autocast_mode.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/amp copying build/lib.linux-x86_64-cpython-310/torch/py.typed -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin copying build/lib.linux-x86_64-cpython-310/torch/bin/protoc-3.13.0.0 -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin copying build/lib.linux-x86_64-cpython-310/torch/bin/protoc -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin copying build/lib.linux-x86_64-cpython-310/torch/bin/torch_shm_manager -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_distributed_autograd.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_functorch.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_nvtx.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_itt.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_autograd.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_monitor.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_lazy_ts_backend.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_distributed_rpc_testing.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_lazy.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_distributed_c10d.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_functions.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_onnx.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_profiler.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_cudnn.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_distributed_rpc.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_verbose.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/__init__.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_VariableFunctions.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C copying build/lib.linux-x86_64-cpython-310/torch/_C/_nn.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C_flatbuffer copying build/lib.linux-x86_64-cpython-310/torch/_C_flatbuffer/__init__.pyi -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C_flatbuffer creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libc10_cuda.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libc10.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libcaffe2_nvrtc.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch_global_deps.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch_cuda_linalg.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libshm.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch_python.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch_cpu.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch_cuda.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libtorch.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib copying build/lib.linux-x86_64-cpython-310/torch/lib/libnvfuser_codegen.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/pthreadpool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/fxdiv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/cpuinfo.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/clog.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/qnnpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/psimd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/fp16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/qnnpack_func.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/nnpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/xnnpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_config.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_debug.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_ocl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_sycl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_sycl_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_threadpool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/dnnl_version.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/sleef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include copying build/lib.linux-x86_64-cpython-310/torch/include/libshm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ATen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/AccumulateType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ArrayRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Backend.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Backtrace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CPUApplyUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CPUFixedAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CPUGeneratorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CollapseDims.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Config.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Context.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/DLConvertor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Device.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/DeviceGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/DimVector.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Dimname.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/DynamicLibrary.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/EmptyTensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ExpandBase.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ExpandUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Formatting.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/FuncTorchTLS.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/FunctionalStorageImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/FunctionalTensorWrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Generator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/InferSize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/InitialTensorOptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Layout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/LegacyBatchedFallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/LegacyBatchedTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/LegacyVmapMode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/LegacyVmapTransforms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/LinalgBackend.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MapAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MatrixRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MemoryOverlap.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NamedTensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NamedTensorUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NestedTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NumericUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/OpMathType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/OpaqueTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/PTThreadPool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/PadNd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Parallel-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Parallel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ParallelFuture.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ParallelNative.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ParallelNativeTBB.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ParallelOpenMP.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/PythonTorchFunctionTLS.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SavedTensorHooks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Scalar.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ScalarOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ScalarType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SequenceNumber.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SmallVector.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SparseCsrTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SparseCsrTensorUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SparseTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/SparseTensorUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Storage.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorAccessor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorGeometry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorIndexing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorIterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorIteratorInternal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorMeta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorNames.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorOperators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorOptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorSubclassLikeUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TensorUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ThreadLocalPythonObjects.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ThreadLocalState.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TracerMode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/TypeDefault.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Version.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/WrapDimUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/WrapDimUtilsMulti.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/autocast_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ceil_div.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/code_template.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpp_custom_type_hack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/div_rtn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/dlpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/jit_macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/jiterator_macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/record_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CPUFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CPUFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeExplicitAutogradFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeExplicitAutogradFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeImplicitAutogradFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeImplicitAutogradFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MetaFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MetaFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/MethodOperators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NativeFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/NativeMetaFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/Operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/RedispatchFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/RegistrationDeclarations.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/VmapGeneratedPlumbing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CUDAFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/CUDAFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/FlushDenormal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vml.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/missing_vld1_neon.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/missing_vst1_neon.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_bfloat16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_complex_double.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_complex_float.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_double.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_float.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_float_neon.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_int.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vec256_qint.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256 creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_bfloat16_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_common_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_double_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_float_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_double_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_float_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_int16_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_int32_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_int64_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint32_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint8_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vec256_quint8_vsx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec256/vsx/vsx_helpers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vsx creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_bfloat16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_complex_double.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_complex_float.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_double.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_float.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_int.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec512/vec512_qint.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec/vec512 copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/functional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/functional_base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/functional_bfloat16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/intrinsics.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cpu/vec/vec_base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cpu/vec creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ATenGeneral.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ATenOpList.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ATen_fwd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ATen_pch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Array.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Backtrace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/CheckMemoryFormat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/DeprecatedTypeProperties.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/DeprecatedTypePropertiesRegistry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Dict.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Dict_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/DimVector.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Dimname.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/DistributionsHelper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Formatting.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Generator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/IListRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/IListRef_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/LegacyTypeDispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/List.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/List_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/MT19937RNGEngine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/NamedTensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/PhiloxRNGEngine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/PythonFallbackKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/PythonOpRegistrationTrampoline.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/QuantizerBase.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Range.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Reduction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Scalar.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ScalarType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/TensorAccessor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/TensorBase.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/TorchDispatchUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/TransformationHelper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/UndefinedTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/UnsafeFromTH.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/VariableHooksInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Variadic.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/Vitals.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/alias_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/blob.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/builtin_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/class_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/custom_class.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dynamic_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/enum_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/function_schema.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/function_schema_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/functional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/grad_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/interned_strings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/interned_strings_class.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ivalue.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ivalue_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/ivalue_to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/jit_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/jit_type_base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/operator_name.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/qualified_name.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/rref_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/symbol.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/type_factory.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/type_ptr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/typeid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/TensorBody.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/aten_interned_strings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/enum_tag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/BoxedKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/BoxedKernel_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/KernelFunction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/KernelFunction_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/OperatorKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl/WrapFunctionIntoRuntimeFunctor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl/boxing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/boxing/impl/test_helpers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/boxing/impl creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/CppSignature.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/DispatchKeyExtractor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/Dispatcher.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/ObservedOperators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/OperatorEntry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/OperatorOptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/dispatch/RegistrationHandleRAII.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/dispatch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/op_registration copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration/adaption.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/op_registration copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration/infer_schema.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/op_registration copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration/op_allowlist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/op_registration copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/core/op_registration/op_registration.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/core/op_registration creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/ApplyGridUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/AsmUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/Atomic.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAApplyUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAGraphsUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDATensorMethods.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/DeviceUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/NumericLimits.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/ScanUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/cub.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/cub_definitions.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/ATenCUDAGeneral.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDABlas.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAConfig.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAContext.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDADataType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDADevice.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAEvent.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAGeneratorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAGraph.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDASparse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDASparseBlas.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDASparseDescriptors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CUDAUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/CachingHostAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/EmptyTensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/Exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/PeerToPeerAccess.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/PinnedMemoryAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/Sleep.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/ThrustAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/cub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/jiterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/jiterator_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/llvm_jit_strings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/IndexUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/IntegerDivider.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/OffsetCalculator.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/PhiloxCudaStateRaw.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/TensorInfo.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/UnpackRaw.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/CUDAHooks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/DeviceThreadHandles.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/KernelUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cuda/detail/LazyNVRTC.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cuda/detail creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Descriptors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Handle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Handles.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/Utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/cudnn/cudnn-wrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/cudnn creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/ADInterpreters.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/BatchRulesHelper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/BatchedFallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/BatchedTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/BatchingMetaprogramming.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/DynamicLayer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/FunctionalizeInterpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/Interpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/LegacyVmapTransforms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/Macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/PlumbingHelper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/TensorWrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/functorch/VmapInterpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/functorch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_blob.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_adaptive_avg_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_batch_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_batch_dim_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_batch_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_batch_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_add_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_addmm_activation_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_aminmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_amp_update_scale_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_async.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_async_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_async_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_async_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_async_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_tensor_metadata.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_tensor_metadata_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_tensor_metadata_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_assert_tensor_metadata_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_full_precision.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_full_precision_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_full_precision_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_full_precision_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_reduced_precision.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_reduced_precision_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_reduced_precision_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_autocast_to_reduced_precision_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_batch_norm_impl_index_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Byte.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Byte_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Byte_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Byte_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Char.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Char_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Char_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Char_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Double.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Double_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Double_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Double_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Float.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Float_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Float_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Float_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Half.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Half_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Half_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Half_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Int.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Int_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Int_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Int_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Long.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Long_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Long_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Long_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Short.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Short_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Short_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cast_Short_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cdist_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cholesky_solve_helper_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_choose_qparams_per_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_choose_qparams_per_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_choose_qparams_per_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_choose_qparams_per_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_chunk_grad_outputs_efficient_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesce_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesced.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesced_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesced_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesced_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_coalesced_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_compute_linear_combination.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_compute_linear_combination_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_compute_linear_combination_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_compute_linear_combination_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_compute_linear_combination_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_physical.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_physical_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_physical_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conj_physical_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conv_depthwise2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conv_depthwise2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conv_depthwise2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_conv_depthwise2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_coo_to_csr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_double_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_double_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_double_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_double_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_mode_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_mode_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_mode_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_and_resize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_and_resize_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_and_resize_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_and_resize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_copy_from_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_ctc_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_ctc_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_ctc_loss_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_ctc_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_ctc_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_ctc_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_init_dropout_state.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_init_dropout_state_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_init_dropout_state_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_init_dropout_state_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_init_dropout_state_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_flatten_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_flatten_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cudnn_rnn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_clear_plan_cache.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_clear_plan_cache_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_clear_plan_cache_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_clear_plan_cache_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_max_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_max_size_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_max_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_max_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_size_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_get_plan_cache_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_set_plan_cache_max_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_set_plan_cache_max_size_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_set_plan_cache_max_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cufft_set_plan_cache_max_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummax_helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummax_helper_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummax_helper_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummax_helper_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummax_helper_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummin_helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummin_helper_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummin_helper_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummin_helper_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_cummin_helper_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_debug_has_internal_overlap.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_debug_has_internal_overlap_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_debug_has_internal_overlap_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_debug_has_internal_overlap_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimI.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimI_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimI_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimV.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimV_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dimV_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dim_arange.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dim_arange_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dim_arange_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dim_arange_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_dirichlet_grad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficient_attention_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_efficientzerotensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_dense_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_forward_only_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_affine_quantized.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_sparse_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_sparse_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_sparse_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_embedding_bag_sparse_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_affine_quantized_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_affine_quantized_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_affine_quantized_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_affine_quantized_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_per_channel_affine_quantized.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_per_channel_affine_quantized_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_per_channel_affine_quantized_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_per_channel_affine_quantized_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_empty_per_channel_affine_quantized_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_euclidean_dist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_euclidean_dist_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_euclidean_dist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_euclidean_dist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2c.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2c_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2c_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2c_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2c_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2r.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2r_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2r_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2r_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_c2r_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_r2c.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_r2c_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_r2c_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_r2c_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fft_r2c_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_flash_attention_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foobar.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foobar_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foobar_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foobar_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foobar_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_abs_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_acos_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_add_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcdiv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_addcmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_asin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_atan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_ceil_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_max_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_clamp_min_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cos_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_cosh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_div_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_erfc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_exp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_expm1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_floor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_frac_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lerp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_lgamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log10_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log1p_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_log_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_maximum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_minimum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_mul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ger_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_neg_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_reciprocal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_round_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sigmoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sinh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sqrt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_sub_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_tanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_trunc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_foreach_zero_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adam.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adam_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adam_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adam_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adam_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adamw.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adamw_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adamw_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adamw_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_adamw_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_dropout_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_dropout_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fused_sdp_choice_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_fw_primal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_gather_sparse_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_gather_sparse_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_gather_sparse_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_gather_sparse_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_compatible_shallow_copy_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_compatible_shallow_copy_type_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_compatible_shallow_copy_type_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_compatible_shallow_copy_type_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_same_storage_numel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_same_storage_numel_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_same_storage_numel_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_has_same_storage_numel_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_bin_edges.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_bin_edges_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_bin_edges_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_bin_edges_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_bin_edges_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_cts.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_cts_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_cts_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_cts_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_cts_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_tensors_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_tensors_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_histogramdd_from_bin_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_index_put_impl_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_all_true.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_all_true_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_all_true_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_all_true_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_any_true.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_any_true_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_any_true_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_any_true_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_zerotensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_zerotensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_zerotensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_is_zerotensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_check_errors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_check_errors_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_check_errors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_check_errors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_det_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_eigh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_slogdet_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_solve_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_linalg_svd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_local_scalar_dense.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_local_scalar_dense_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_local_scalar_dense_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_local_scalar_dense_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_local_scalar_dense_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_backward_data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_log_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_logcumsumexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_logcumsumexp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_logcumsumexp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_logcumsumexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_logcumsumexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lstm_mps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lstm_mps_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lstm_mps_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lstm_mps_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lu_with_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lu_with_info_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lu_with_info_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_lu_with_info_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_dual_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_channel_quantized_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_make_per_tensor_quantized_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_scale.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_scale_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_scale_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_scale_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_scale_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_masked_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_reshape.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_reshape_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_reshape_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_reshape_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_transpose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_transpose_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_transpose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mkldnn_transpose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_transpose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_transpose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_mps_convolution_transpose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_batch_norm_legit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_decoder_only_multi_head_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_native_multi_head_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_neg_view_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_and_nested_example.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_and_nested_example_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_and_nested_example_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_and_nested_example_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_from_padded_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_select_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_select_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_select_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_sum_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_sum_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_sum_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_mask_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_tensor_list.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_tensor_list_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_tensor_list_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_from_tensor_list_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_offsets.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_offsets_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_offsets_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_size_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_softmax_with_shape.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_softmax_with_shape_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_softmax_with_shape_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_strides.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_strides_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_strides_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_tensor_strides_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nested_view_from_buffer_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_new_zeros_with_same_feature_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_new_zeros_with_same_feature_meta_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_new_zeros_with_same_feature_meta_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_new_zeros_with_same_feature_meta_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_available.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_available_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_available_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_available_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_spatial_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_spatial_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_spatial_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnpack_spatial_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnz.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnz_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_nnz_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pack_padded_sequence_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_circular.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_circular_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_circular_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_circular_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_enum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_enum_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_enum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_enum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_packed_sequence.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_packed_sequence_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_packed_sequence_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pad_packed_sequence_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pdist_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pin_memory.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pin_memory_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pin_memory_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pin_memory_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_pin_memory_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_prelu_kernel_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_remove_batch_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_remove_batch_dim_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_remove_batch_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_remove_batch_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_alias_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_from_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_from_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_from_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_reshape_from_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_resize_output.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_resize_output_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_resize_output_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_resize_output_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_resize_output_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_rowwise_prune.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_rowwise_prune_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_rowwise_prune_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_rowwise_prune_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sample_dirichlet_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_saturate_weight_to_fp16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_saturate_weight_to_fp16_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_saturate_weight_to_fp16_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_saturate_weight_to_fp16_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_math.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_math_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_math_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_math_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_warn_in_autograd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_scaled_dot_product_flash_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_segment_reduce_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_shape_as_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_shape_as_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_shape_as_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_shape_as_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_slow_conv2d_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_draw.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_draw_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_draw_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_draw_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_ff.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_ff_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_ff_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_ff_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_initialize_state.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_initialize_state_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_initialize_state_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_initialize_state_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_scramble.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_scramble_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_scramble_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sobol_engine_scramble_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_backward_data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_addmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_addmm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_addmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_addmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_string_default_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_broadcast_to_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csc_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csc_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csc_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csc_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_prod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_prod_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_prod_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_prod_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_sum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_sum_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_sum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_sum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_tensor_unsafe.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_tensor_unsafe_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_tensor_unsafe_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_csr_tensor_unsafe_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_backward_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_backward_data_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_backward_data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_backward_data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_log_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_mm_reduce_impl_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_backward_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_backward_data_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_backward_data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_backward_data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sparse_matmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sparse_matmul_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sparse_matmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sparse_matmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_sparse_sum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_spdiags.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_spdiags_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_spdiags_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_spdiags_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_spdiags_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_stack_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_stack_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_stack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_stack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_grad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_standard_gamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_ambiguous_defaults.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_ambiguous_defaults_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_ambiguous_defaults_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_ambiguous_defaults_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_check_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_check_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_check_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_check_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_filled_intlist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_filled_intlist_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_filled_intlist_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_filled_intlist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_filled_intlist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_floatlist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_floatlist_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_floatlist_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_floatlist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_floatlist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_intlist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_intlist_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_intlist_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_intlist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_optional_intlist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_serialization_subcmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_serialization_subcmul_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_serialization_subcmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_serialization_subcmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_string_default.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_string_default_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_string_default_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_warn_in_autograd_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_warn_in_autograd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_test_warn_in_autograd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_gru_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_thnn_fused_lstm_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_cpu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_cpu_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_cpu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_cpu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_dense.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_dense_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_dense_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_to_dense_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transform_bias_rescale_qkv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_decoder_only_layer_fwd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_transformer_encoder_layer_fwd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_trilinear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_trilinear_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_trilinear_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_trilinear_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_trilinear_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_multi_head_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_multi_head_attention_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_multi_head_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_multi_head_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_multi_head_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_scaled_dot_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_scaled_dot_attention_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_scaled_dot_attention_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_scaled_dot_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_triton_scaled_dot_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unique_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unpack_dual.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unpack_dual_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unpack_dual_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unpack_dual_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unsafe_view.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unsafe_view_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unsafe_view_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_unsafe_view_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bicubic2d_aa_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_bilinear2d_aa_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_upsample_nearest_exact3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_ctc_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_ctc_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_ctc_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_ctc_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_compressed_sparse_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_compressed_sparse_indices_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_compressed_sparse_indices_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_compressed_sparse_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_compressed_sparse_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_coo_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_coo_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_coo_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_coo_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csc_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csc_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csc_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csc_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csr_tensor_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csr_tensor_args_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csr_tensor_args_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_validate_sparse_csr_tensor_args_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_values_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_version.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_version_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_version_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_version_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_differentiable_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_differentiable_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_differentiable_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_differentiable_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_interface_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/_weight_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/abs_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/absolute.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/absolute_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/absolute_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/absolute_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acos_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/acosh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_avg_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adaptive_max_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/add_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addbmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcdiv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addcmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addmv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/addr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adjoint.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adjoint_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adjoint_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/adjoint_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/affine_grid_generator_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alias_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_as_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_tensors_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_to_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_to_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/align_to_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/all_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/allclose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/allclose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/allclose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/allclose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alpha_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alpha_dropout_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alpha_dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/alpha_dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/amin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/aminmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/and.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/and_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/and_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/and_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/angle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/angle_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/angle_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/angle_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/angle_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/any_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arange_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccos.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccos_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccos_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccos_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccosh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccosh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccosh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arccosh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsin_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsinh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsinh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsinh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arcsinh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctanh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/arctanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argmin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argsort_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argwhere.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argwhere_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argwhere_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/argwhere_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_scatter_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/as_strided_scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/asinh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/atleast_3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/avg_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/baddbmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bartlett_window.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bartlett_window_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bartlett_window_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bartlett_window_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_elemt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_elemt_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_elemt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_elemt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_elemt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_reduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_reduce_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_reduce_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_reduce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_backward_reduce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_elemt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_elemt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_elemt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_elemt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_with_counts.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_stats.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_stats_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_stats_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_stats_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_stats_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/batch_norm_update_stats_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bernoulli_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bilinear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bilinear_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bilinear_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bilinear_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_with_logits.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_with_logits_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_with_logits_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binary_cross_entropy_with_logits_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bincount_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/binomial_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_and_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_left_shift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_not_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_or_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_right_shift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagflat_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bitwise_xor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/blackman_window.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/blackman_window_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/blackman_window_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/blackman_window_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/block_diag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/block_diag_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/block_diag_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/block_diag_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_tensors_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_to_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_to_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/broadcast_to_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/bucketize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/can_cast.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/can_cast_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/can_cast_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/can_cast_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cartesian_prod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cartesian_prod_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cartesian_prod_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cartesian_prod_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cat_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cauchy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ccol_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cdist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cdist_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cdist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cdist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ceil_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/celu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/celu_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/celu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/celu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chain_matmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chain_matmul_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chain_matmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chain_matmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chalf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chalf_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chalf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chalf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/channel_shuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/channel_shuffle_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/channel_shuffle_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/channel_shuffle_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/channel_shuffle_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_inverse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_inverse_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_inverse_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_inverse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_inverse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_solve_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cholesky_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/choose_qparams_optimized.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/choose_qparams_optimized_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/choose_qparams_optimized_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/choose_qparams_optimized_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chunk.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chunk_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chunk_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/chunk_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_max_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_min_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clamp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clip.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clip_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clip_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clip_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clone.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clone_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clone_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/clone_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/coalesce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/coalesce_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/coalesce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/coalesce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col2im.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col2im_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col2im_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col2im_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col2im_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/col_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/column_stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/column_stack_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/column_stack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/column_stack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/combinations.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/combinations_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/combinations_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/combinations_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/complex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concat_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concat_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concat_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concatenate.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concatenate_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concatenate_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/concatenate_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conj_physical_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/constant_pad_nd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/constant_pad_nd_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/constant_pad_nd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/constant_pad_nd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/contiguous.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/contiguous_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/contiguous_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/contiguous_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_depthwise3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_depthwise3d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_depthwise3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_depthwise3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_depthwise3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_tbc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/conv_transpose3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_overrideable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_overrideable_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_overrideable_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_backward_overrideable_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_overrideable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_overrideable_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_overrideable_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/convolution_overrideable_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_sparse_to_sparse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_sparse_to_sparse_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_sparse_to_sparse_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_sparse_to_sparse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copy_sparse_to_sparse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/copysign_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/corrcoef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/corrcoef_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/corrcoef_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/corrcoef_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cos_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_transpose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_embedding_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_embedding_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_embedding_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_embedding_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_similarity.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_similarity_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_similarity_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cosine_similarity_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/count_nonzero_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cov.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cov_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cov_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cov_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_entropy_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_entropy_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_entropy_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_entropy_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cross_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/crow_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ctc_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ctc_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ctc_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ctc_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_affine_grid_generator_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_batch_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_add_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_add_relu_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_add_relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_add_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_add_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_relu_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_transpose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_transpose_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_convolution_transpose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_grid_sampler_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_is_acceptable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_is_acceptable_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_is_acceptable_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cudnn_is_acceptable_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummaxmin_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummaxmin_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummaxmin_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummaxmin_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummin_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummin_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cummin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumprod_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumsum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumulative_trapezoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumulative_trapezoid_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumulative_trapezoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/cumulative_trapezoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/data_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/deg2rad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/deg2rad_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/deg2rad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/deg2rad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dense_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dense_dim_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dense_dim_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dense_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dense_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dequantize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/det.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/det_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/det_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/det_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/detach_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_embed.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_embed_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_embed_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_embed_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_embed_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diag_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagflat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagflat_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagflat_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_scatter_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diagonal_scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diff.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diff_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diff_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/diff_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/digamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dist_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/div_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/divide.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/divide_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/divide_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/divide_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dropout_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dsplit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dsplit_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dsplit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dsplit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dstack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dstack_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dstack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/dstack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/einsum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/einsum_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/einsum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/einsum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/elu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_bag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_bag_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_bag_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_bag_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_dense_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_renorm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_sparse_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_sparse_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_sparse_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/embedding_sparse_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_quantized.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_quantized_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_quantized_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_quantized_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/empty_strided_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eq_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/equal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/equal_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/equal_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/equal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/equal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/erfinv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_as_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expand_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/expm1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/exponential_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/eye_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_channel_affine_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fake_quantize_per_tensor_affine_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_fp16_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_int8_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_quantize_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_quantize_weight_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_quantize_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_linear_quantize_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_quantized_matrix.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_quantized_matrix_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_quantized_matrix_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fbgemm_pack_quantized_matrix_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_alpha_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_alpha_dropout_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_alpha_dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_alpha_dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_dropout_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/feature_dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftfreq.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftfreq_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftfreq_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftfreq_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftshift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftshift_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftshift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_fftshift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_hfftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftshift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftshift_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftshift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ifftshift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_ihfftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_irfftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftfreq.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftfreq_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftfreq_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftfreq_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fft_rfftn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_diagonal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_diagonal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_diagonal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_diagonal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fill_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fix.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fix_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fix_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fix_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_dense_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_dense_tensors_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_dense_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_dense_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flatten_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flip_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fliplr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fliplr_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fliplr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fliplr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flipud.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flipud_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flipud_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/flipud_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/float_power.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/float_power_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/float_power_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/float_power_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_divide_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/floor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fmod_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frac_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fractional_max_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frobenius_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frobenius_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frobenius_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/frobenius_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_file.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_file_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_file_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_file_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/from_file_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/full_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gather_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gcd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ge_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gelu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geometric_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geqrf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geqrf_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geqrf_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geqrf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/geqrf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ger.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ger_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ger_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_jvp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_jvp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/glu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gradient.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gradient_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gradient_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gradient_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_equal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_equal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_equal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_equal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/greater_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/grid_sampler_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/group_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/group_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/group_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/group_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gru_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/gt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hamming_window.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hamming_window_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hamming_window_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hamming_window_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hann_window.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hann_window_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hann_window_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hann_window_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardshrink_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardsigmoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardswish_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hardtanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/heaviside_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hinge_embedding_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hinge_embedding_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hinge_embedding_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hinge_embedding_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogram.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogram_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogram_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogram_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogramdd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogramdd_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogramdd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/histogramdd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hsplit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hsplit_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hsplit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hsplit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hspmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hspmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hspmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hstack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hstack_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hstack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hstack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/huber_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/hypot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/i0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/igammac_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/im2col.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/im2col_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/im2col_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/im2col_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/im2col_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/imag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/imag_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/imag_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/imag_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_add_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_fill_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_put.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_put_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_put_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_put_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_reduce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/index_select_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/infinitely_differentiable_gelu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/infinitely_differentiable_gelu_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/infinitely_differentiable_gelu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/infinitely_differentiable_gelu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inner.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inner_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inner_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inner_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/instance_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/instance_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/instance_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/instance_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/int_repr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/int_repr_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/int_repr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/int_repr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inverse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inverse_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inverse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/inverse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_coalesced.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_coalesced_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_coalesced_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_coalesced_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_complex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_complex_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_complex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_complex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_conj.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_conj_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_conj_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_conj_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_distributed.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_distributed_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_distributed_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_distributed_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_floating_point.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_floating_point_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_floating_point_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_floating_point_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_inference.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_inference_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_inference_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_inference_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_leaf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_leaf_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_leaf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_leaf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_neg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_neg_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_neg_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_neg_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_nonzero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_nonzero_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_nonzero_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_nonzero_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_pinned.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_pinned_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_pinned_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_pinned_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_pinned_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_same_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_same_size_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_same_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_same_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_set_to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_set_to_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_set_to_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_set_to_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_set_to_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_signed.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_signed_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_signed_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_signed_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_vulkan_available.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_vulkan_available_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_vulkan_available_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/is_vulkan_available_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isclose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isclose_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isclose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isclose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isfinite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isfinite_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isfinite_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isfinite_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isinf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isinf_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isinf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isinf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isnan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isneginf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isposinf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isreal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isreal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isreal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/isreal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/istft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/istft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/istft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/istft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/item.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/item_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/item_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/item_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kaiser_window.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kaiser_window_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kaiser_window_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kaiser_window_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kl_div.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kl_div_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kl_div_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kl_div_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kron.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kron_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kron_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kron_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/kthvalue_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/l1_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/l1_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/l1_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/l1_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/layer_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/layer_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/layer_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/layer_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lcm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ldexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ldexp_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ldexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ldexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/le_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/leaky_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lerp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_equal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_equal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_equal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_equal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/less_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lgamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_fresh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cholesky_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cond.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cond_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cond_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cond_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_cross_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_det.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_det_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_det_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_det_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_diagonal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_diagonal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_diagonal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_diagonal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eig.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eig_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eig_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eig_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eig_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvals.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvals_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvals_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvals_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvalsh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvalsh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvalsh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_eigvalsh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_householder_product.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_householder_product_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_householder_product_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_householder_product_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_householder_product_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_inv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_factor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_ldl_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lstsq_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_factor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_lu_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matmul_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_exp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_power.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_power_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_power_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_power_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_rank.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_rank_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_rank_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_matrix_rank_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_multi_dot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_multi_dot_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_multi_dot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_multi_dot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_pinv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_qr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_slogdet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_slogdet_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_slogdet_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_slogdet_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_ex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_ex_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_ex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_ex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_triangular.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_triangular_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_triangular_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_triangular_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_solve_triangular_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svd_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svdvals.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svdvals_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svdvals_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_svdvals_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorinv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorinv_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorinv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorinv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorsolve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorsolve_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorsolve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_tensorsolve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vander.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vander_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vander_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vander_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vecdot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vecdot_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vecdot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vecdot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linalg_vector_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linear_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/linspace_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log10_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log1p_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_normal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_sigmoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_softmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/log_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logaddexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logcumsumexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logcumsumexp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logcumsumexp_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logcumsumexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logcumsumexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logdet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logdet_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logdet_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logdet_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_and_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_not_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_or_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logical_xor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logspace_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/logsumexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lshift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_mps_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_mps_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_mps_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_mps_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lstm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_solve_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/lu_unpack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mH.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mH_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mH_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mH_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mT.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mT_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mT_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mT_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/margin_ranking_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/margin_ranking_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/margin_ranking_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/margin_ranking_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_fill_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/masked_select_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matmul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_H.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_H_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_H_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_H_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_exp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_power.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_power_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_power_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/matrix_power_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/meshgrid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_with_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_with_indices_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_with_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool1d_with_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool2d_with_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_pool3d_with_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/max_unpool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/maximum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mean_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/median_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/meshgrid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/meshgrid_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/meshgrid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/min_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/minimum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_batch_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_add_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_add_relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_add_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_add_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_transpose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_transpose_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_transpose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_convolution_transpose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_depthwise_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_depthwise_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_depthwise_convolution_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_depthwise_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_depthwise_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/miopen_rnn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mish_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_convolution.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_convolution_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_convolution_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_convolution_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_input.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_input_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_input_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_input_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_weights.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_weights_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_weights_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_backward_weights_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_linear_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_max_pool3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mkldnn_rnn_layer_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mode_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/moveaxis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/moveaxis_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/moveaxis_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/moveaxis_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/movedim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/movedim_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/movedim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/movedim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_transpose_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_transpose_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_transpose_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mps_convolution_transpose_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mse_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/msort.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/msort_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/msort_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/msort_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mul_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multi_margin_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multilabel_margin_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multinomial.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multinomial_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multinomial_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multinomial_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multinomial_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multiply.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multiply_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multiply_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/multiply_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mv_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/mvlgamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nan_to_num_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmean.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmean_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmean_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmean_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanmedian_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanquantile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanquantile_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanquantile_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nanquantile_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nansum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nansum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nansum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nansum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nansum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_copy_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/narrow_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_batch_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_channel_shuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_channel_shuffle_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_channel_shuffle_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_channel_shuffle_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_channel_shuffle_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_dropout_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_group_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_layer_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/native_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ne_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/neg_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/negative.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/negative_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/negative_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/negative_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nested_to_padded_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nested_to_padded_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nested_to_padded_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nested_to_padded_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_strided.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_strided_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_strided_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_strided_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_empty_strided_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_full.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_full_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_full_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rot90.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_full_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_ones.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_ones_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_ones_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_ones_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_zeros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_zeros_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_zeros_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/new_zeros_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nextafter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_nd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_nd_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_nd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_nd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nll_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_numpy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_numpy_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_numpy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_numpy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nonzero_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_except_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_except_dim_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_except_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_except_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/normal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/not_equal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/not_equal_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/not_equal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/not_equal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nuclear_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nuclear_norm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nuclear_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/nuclear_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/numpy_T.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/numpy_T_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/numpy_T_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/numpy_T_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/one_hot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/one_hot_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/one_hot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/one_hot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ones_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/or.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/or_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/or_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/or_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/orgqr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/orgqr_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/orgqr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/orgqr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ormqr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ormqr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ormqr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ormqr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ormqr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/outer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/outer_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/outer_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/outer_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/output_nr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/output_nr_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/output_nr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/output_nr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_sequence.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_sequence_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_sequence_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pad_sequence_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pairwise_distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pairwise_distance_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pairwise_distance_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pairwise_distance_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pdist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pdist_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pdist_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pdist_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/permute_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pin_memory.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pin_memory_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pin_memory_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pin_memory_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pinverse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pinverse_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pinverse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pinverse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_shuffle_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pixel_unshuffle_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_nll_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_nll_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_nll_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_nll_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/poisson_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polar_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/polygamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/positive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/positive_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/positive_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/positive_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/pow_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prelu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prelu_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prelu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prelu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/prod_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/promote_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/promote_types_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/promote_types_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/promote_types_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/put_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_axis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_axis_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_axis_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_scales.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_scales_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_scales_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_scales_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_zero_points.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_zero_points_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_zero_points_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_per_channel_zero_points_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_scale.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_scale_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_scale_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_zero_point.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_zero_point_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/q_zero_point_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qr_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qscheme.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qscheme_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/qscheme_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantile_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantile_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantile_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_channel_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_dynamic_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantize_per_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_batch_norm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_batch_norm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_batch_norm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_gru_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_gru_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_gru_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_gru_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_lstm_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_lstm_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_lstm_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_lstm_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool1d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool2d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_max_pool2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_relu_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_relu_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_relu_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_relu_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_tanh_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_tanh_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_tanh_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/quantized_rnn_tanh_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rad2deg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rad2deg_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rad2deg_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rad2deg_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rand_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randint_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/random_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/randperm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/range_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ravel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ravel_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ravel_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/ravel_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/real.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/real_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/real_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/real_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reciprocal_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/record_stream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/record_stream_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/record_stream_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/record_stream_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/refine_names.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/refine_names_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/refine_names_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/refine_names_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reflection_pad3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu6.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu6_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu6_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu6_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/remainder_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rename.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rename_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rename_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rename_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/renorm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_interleave_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/repeat_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/replication_pad3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/requires_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/requires_grad_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/requires_grad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/requires_grad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_as_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_as_compositeimplicitautogradnestedtensor_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_compositeimplicitautogradnestedtensor_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/reshape_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_sparse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_sparse_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_sparse_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_sparse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_as_sparse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_conj.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_conj_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_conj_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_conj_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_neg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_neg_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_neg_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/resolve_neg_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/result_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/result_type_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/result_type_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/result_type_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retain_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retain_grad_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retain_grad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retain_grad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retains_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retains_grad_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retains_grad_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/retains_grad_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_relu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_cell.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_cell_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_cell_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_cell_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rnn_tanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/roll_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rot90_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rot90_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rot90_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/round_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_stack_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_stack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/row_stack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rrelu_with_noise_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rshift_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsqrt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/rsub_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scalar_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scalar_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scalar_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scalar_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scaled_dot_product_attention.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scaled_dot_product_attention_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scaled_dot_product_attention_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scaled_dot_product_attention_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_add_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/scatter_reduce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/searchsorted_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/segment_reduce_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_scatter_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/select_scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/selu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/selu_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/selu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/selu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_data_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_data_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_data_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/set_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sgn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sigmoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sign_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/signbit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/silu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sin_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sinh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/size_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_scatter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_scatter_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_scatter_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slice_scatter_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slogdet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slogdet_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slogdet_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slogdet_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_forward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_forward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_forward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_forward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_dilated3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/slow_conv_transpose3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/smooth_l1_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/soft_margin_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softmax_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softplus_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/softshrink_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sort_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsc_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsc_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsc_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsc_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsr_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsr_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsr_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_bsr_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_compressed_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_compressed_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_compressed_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_compressed_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_coo_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_coo_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_coo_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_coo_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_coo_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csc_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csc_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csc_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csc_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csr_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csr_tensor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csr_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_csr_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_dim_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_dim_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_mask.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_mask_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_mask_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_mask_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_and_clear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_and_clear_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_and_clear_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_and_clear_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_and_clear_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_resize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_sampled_addmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_sampled_addmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sparse_sampled_addmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_airy_ai_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_j1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_bessel_y1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_t_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_u_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_v_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_chebyshev_polynomial_w_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_digamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_digamma_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_digamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_digamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_entr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erf_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erf_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erf_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfc_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfcx_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfinv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfinv_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfinv_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_erfinv_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_exp2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_exp2_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_exp2_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_exp2_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expit_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expm1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expm1_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expm1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_expm1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammainc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammainc_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammainc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammainc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaincc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaincc_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaincc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaincc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaln.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaln_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaln_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_gammaln_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_h_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_hermite_polynomial_he_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i0e_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_i1e_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_laguerre_polynomial_l_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_legendre_polynomial_p_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log1p.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log1p_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log1p_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log1p_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_ndtr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_log_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logit_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logsumexp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logsumexp_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logsumexp_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_logsumexp_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_i1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_modified_bessel_k1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_multigammaln.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_multigammaln_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_multigammaln_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_multigammaln_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtr_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_ndtri_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_polygamma.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_polygamma_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_polygamma_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_polygamma_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_psi.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_psi_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_psi_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_psi_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_round.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_round_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_round_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_round_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_scaled_modified_bessel_k1_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_sinc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_sinc_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_sinc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_sinc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_softmax_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_softmax_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_softmax_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_spherical_bessel_j0_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlog1py_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlogy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlogy_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlogy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_xlogy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/special_zeta_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/split_with_sizes_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sqrt_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/square.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/square_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/square_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/square_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/squeeze_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sspaddmm_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stack_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_mean_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/std_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stft_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stft_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stft_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stride.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stride_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stride_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/stride_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sub_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/subtract.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/subtract_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/subtract_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/subtract_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_to_size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_to_size_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_to_size_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/sum_to_size_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/svd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/svd_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/svd_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/svd_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapaxes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapaxes_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapaxes_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapaxes_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapdims.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapdims_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapdims_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/swapdims_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/t_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_along_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_along_dim_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_along_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_along_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/take_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tan_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tanh_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensor_split.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensor_split_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensor_split_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensor_split_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tensordot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/thnn_conv2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/thnn_conv2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/thnn_conv2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/thnn_conv2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/threshold_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tile_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tile_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tile_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_dense_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_mkldnn_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_padded_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_padded_tensor_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_padded_tensor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_padded_tensor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_bsr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_csr_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/to_sparse_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/topk_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trace_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/transpose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapezoid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapezoid_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapezoid_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapezoid_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapz.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapz_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapz_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trapz_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triangular_solve_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/tril_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triplet_margin_loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triplet_margin_loss_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triplet_margin_loss_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triplet_margin_loss_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_indices_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/triu_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/true_divide.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/true_divide_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/true_divide_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/true_divide_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/trunc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/type_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/type_as_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/type_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/type_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_compositeimplicitautogradnestedtensor_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unbind_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_dense_tensors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_dense_tensors_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_dense_tensors_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_dense_tensors_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unflatten_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unfold_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/uniform_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_consecutive_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_consecutive_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unique_dim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_chunk.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_chunk_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_chunk_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_chunk_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_with_sizes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_with_sizes_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_with_sizes_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsafe_split_with_sizes_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/unsqueeze_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bicubic2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_bilinear2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_linear1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest1d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest2d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_nearest3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/upsample_trilinear3d_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/value_selecting_reduction_backward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/value_selecting_reduction_backward_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/value_selecting_reduction_backward_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/value_selecting_reduction_backward_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/values_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vander.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vander_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vander_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vander_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_mean_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/var_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vdot_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_complex_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_as_real_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_copy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_copy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_copy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_copy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/view_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vsplit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vsplit_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vsplit_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vsplit_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vstack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vstack_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vstack_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/vstack_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/where_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_compositeexplicitautogradnonfunctional_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_cuda_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_meta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xlogy_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xor_compositeimplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xor_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/xor_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_cpu_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_meta_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zero_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_like.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_like_compositeexplicitautograd_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_like_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_like_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_native.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/ops/zeros_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl/HIPAllocatorMasqueradingAsCUDA.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl/HIPCachingAllocatorMasqueradingAsCUDA.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl/HIPGuardImplMasqueradingAsCUDA.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip/impl copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/hip/impl/HIPStreamMasqueradingAsCUDA.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/hip/impl creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/Descriptors.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/Exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/Handle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/Types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/Utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/miopen/miopen-wrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/miopen creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail/CUDAHooksInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail/FunctionTraits.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail/HIPHooksInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail/MPSHooksInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/detail/ORTHooksInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/detail creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/AdaptivePooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/BatchLinearAlgebra.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/BinaryOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/BucketizationUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/CPUBlas.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/CPUFallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/CanUse32BitIndexMath.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ComplexHelper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/CompositeRandomAccessor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/CompositeRandomAccessorCommon.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ConvUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ConvolutionMM3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Cross.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/DilatedConvolutionUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/DispatchStub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/DistributionTemplates.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Distributions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/EmbeddingBag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Fill.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ForeachUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/FractionalMaxPooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/FunctionOfAMatrixUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/GridSampler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/GridSamplerUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Histogram.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/IndexKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/IndexingUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Lerp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/LinearAlgebra.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/LinearAlgebraUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/LossMulti.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Math.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/MathBitFallThroughLists.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/MathBitsFallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/MaxPooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/NonEmptyUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/NonSymbolicBC.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Normalization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/PointwiseOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Pool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Pow.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/RNN.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/RangeFactories.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ReduceAllOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ReduceOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ReduceOpsUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ReductionType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Repeat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Resize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ResizeCommon.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/ScatterGatherChecks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/SegmentReduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/SharedReduceOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/SobolEngineOpsUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Sorting.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/SortingUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/SpectralOpsUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/StridedRandomAccessor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorAdvancedIndexing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorAdvancedIndexingUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorCompare.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorConversions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorDimApply.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorFactories.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorIterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorIteratorDynamicCasting.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorProperties.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorShape.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TensorTransformations.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TopKImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TransposeType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TriangularOpsUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/TypeProperties.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/UnaryOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Unfold2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/Unfold3d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/UnfoldBackward.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/UpSample.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/batch_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/group_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/im2col.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/im2col_shape_check.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/layer_norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/verbose_wrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/vol2col.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/AtomicAddFloat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/CatKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/ChannelShuffleKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/CopyKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/DepthwiseConvKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/DistributionTemplates.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/GridSamplerKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/IndexKernelUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/Intrinsics.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/IsContiguous.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/Loops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/MaxUnpoolKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/PixelShuffleKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/Reduce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/ReduceUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/SampledAddmmKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/SerialStackImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/SoftmaxKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/SpmmReduceKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/StackKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/UpSampleKernelAVXAntialias.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/WeightNormKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/avx_mathfun.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/mixed_data_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/moments_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/radix_sort.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cpu/zmath.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cpu creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/BinaryInternal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/CompositeRandomAccessor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/CuFFTPlanCache.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/CuFFTUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/DistributionTemplates.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Distributions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/GridSampler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/IndexKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/LaunchUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/MiscUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ReduceOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Resize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ScanKernels.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Sort.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/SortStable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Sorting.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/TensorModeKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/TensorTopK.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/jit_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/thread_constants.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/CUDAJitLoops.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/CUDALoops.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/DeviceSqrt.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/EmbeddingBackwardKernel.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ForeachFunctors.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ForeachMinMaxFunctors.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/GridSampler.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/JitLoops.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/KernelUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Loops.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Math.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/MemoryAccess.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/MultiTensorApply.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Normalization.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/PersistentSoftmax.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Pow.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ROCmLoops.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Randperm.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/Reduce.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/ScanUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/SortUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/SortingCommon.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/SortingRadixSelect.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/TensorModeKernel.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/UniqueCub.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/UpSample.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/block_reduce.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/fused_adam_amsgrad_impl.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/fused_adam_impl.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/fused_adam_utils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/fused_adamw_amsgrad_impl.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/fused_adamw_impl.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/im2col.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/reduction_template.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/cuda/vol2col.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/AffineQuantizer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/AffineQuantizerBase.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/Copy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/FakeQuantAffine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/IndexKernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/PackedParams.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/BinaryOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/EmbeddingPackedParams.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/OnednnUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/QnnpackUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/QuantUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/QuantizedOps.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/RuyUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/XnnpackUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/conv_serialization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/fbgemm_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/init_qnnpack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/qembeddingbag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/native/quantized/cpu/qembeddingbag_prepack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/native/quantized/cpu creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/quantized/QTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/quantized copying build/lib.linux-x86_64-cpython-310/torch/include/ATen/quantized/Quantizer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/ATen/quantized creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2 creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/istream_adapter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/versions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/in_memory_adapter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/file_adapter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/inline_container.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/crc_alt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/caffe2/serialize/read_adapter_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/caffe2/serialize creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10 creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/macros copying build/lib.linux-x86_64-cpython-310/torch/include/c10/macros/Export.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/macros copying build/lib.linux-x86_64-cpython-310/torch/include/c10/macros/Macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/macros copying build/lib.linux-x86_64-cpython-310/torch/include/c10/macros/cmake_macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/macros creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SymIntArrayRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/CopyBytes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/TensorOptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DefaultDtype.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/MemoryFormat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/OptionalRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Stream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Device.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/StorageImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/thread_pool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Layout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/alignment.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SymFloat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Storage.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/WrapDimMinimal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/CompileTimeFunctionPointer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/ScalarType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DefaultTensorOptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DeviceType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Event.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DynamicCast.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DispatchKeySet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/StreamGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DeviceGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SymNodeImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/ScalarTypeToTypeMeta.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DeviceArray.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Allocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/GeneratorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SymBool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/TensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Backend.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/QScheme.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/DispatchKey.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SymInt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/UndefinedTensorImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/SafePyObject.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/AutogradState.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/QEngine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/CPUAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/GradMode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/Scalar.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/PyHandleCache.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/InferenceMode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/DeviceGuardImplInterface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/GPUTrace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/InlineEvent.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/PythonDispatcherTLS.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/PyInterpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/LocalDispatchKeySet.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/VirtualGuardImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/HermeticPyObjectTLS.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/TorchDispatchModeTLS.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/PyObjectSlot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/FakeGuardImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/alloc_cpu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/InlineDeviceGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/SizesAndStrides.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/core/impl/InlineStreamGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/core/impl creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/quint2x4.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/either.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ScopeExit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Deprecated.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/BFloat16-math.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/tempfile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/complex_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/complex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/safe_numerics.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ArrayRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/qint8.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/LeftRight.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ExclusivelyOwned.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/FunctionRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Load.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Optional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/IdWrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/math_compat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Half.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/win32-headers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/numa.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/SmallBuffer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/strides.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/BFloat16.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/C++17.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/quint8.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Half-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/thread_name.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/variant.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Flags.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/sparse_bitset.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/order_preserving_flat_hash_map.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/llvmMathExtras.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Unicode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/complex_math.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/flat_hash_map.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/accumulate.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/overloaded.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Metaprogramming.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/python_stub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ConstexprCrc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/TypeList.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/TypeTraits.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/irange.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Bitset.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/MathConstants.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/logging_is_not_google_glog.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/BFloat16-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/MaybeOwned.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/env.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Backtrace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/int128.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Array.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ThreadLocalDebugInfo.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/quint4x2.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/StringUtil.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/typeid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/string_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ExclusivelyOwnedTensorTraits.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Unroll.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Logging.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/hash.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/copysign.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/TypeCast.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/TypeSafeSignMath.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/logging_is_google_glog.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/qint32.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/OptionalArrayRef.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/TypeIndex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/strong_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/in_place.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/reverse_iterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/string_view.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/ThreadLocal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/DeadlockDetection.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/CallOnce.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Exception.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/DimVector.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/signal_handler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/intrusive_ptr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/AlignOf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/SmallVector.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/Synchronized.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util copying build/lib.linux-x86_64-cpython-310/torch/include/c10/util/UniqueVoidPtr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/util creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDACachingAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDADeviceAssertionHost.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAException.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAGuard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAMacros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAMathCompat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAMiscFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAStream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDADeviceAssertion.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAGraphsC10Utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/CUDAAlgorithm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl/CUDAGuardImpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl/CUDATest.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda/impl copying build/lib.linux-x86_64-cpython-310/torch/include/c10/cuda/impl/cuda_cmake_macros.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/c10/cuda/impl creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/custom_class.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/custom_class_detail.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/library.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/script.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/extension.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Export.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Dtype.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/MemoryFormat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/PyInterpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Stream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Device.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/python_headers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Layout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Size.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Storage.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/serialization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/python_dimname.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/CudaIPCTypes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/THP.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/StorageSharing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/itt_wrapper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/DataLoader.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/copy_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Generator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/QScheme.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/DynamicTypes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/TypeInfo.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/StorageMethods.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/THConcat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/PythonTypes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/Module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/all.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/ordered_dict.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/linalg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/imethod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/special.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/expanding_array.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/fft.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/python.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/enum.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/jit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nested.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/arg.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/cuda.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/autograd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/torch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/sparse.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/version.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/iterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/worker_exception.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/example.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader/stateless.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/mnist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/chunk.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/shared.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/map.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/stateful.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/datasets/base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/datasets creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/detail copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail/data_shuttle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/detail copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail/queue.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/detail copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/detail/sequencers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/detail creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/custom_batch_request.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/random.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/serialize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/stream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/sequential.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/distributed.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/samplers/base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/samplers creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms/lambda.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms/stack.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms/collate.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/data/transforms/base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/data/transforms creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/detail copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/detail/static.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/detail copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/detail/TensorDataContainer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/detail creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/cloneable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/pimpl-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/pimpl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/batchnorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/pooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/instancenorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/conv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/pixelshuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/vision.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/padding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/embedding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/normalization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/upsampling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/fold.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/functional/activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/functional creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/batchnorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/pooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/instancenorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/conv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/pixelshuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/vision.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/transformerlayer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/padding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/embedding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/normalization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/transformer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/upsampling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/fold.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/adaptive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/transformercoder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/rnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/options/activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/options creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/pooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/instancenorm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/conv.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/pixelshuffle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/common.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/transformerlayer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/padding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/embedding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/normalization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/transformer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/upsampling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/fold.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/loss.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/adaptive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/transformercoder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/rnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/activation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/any.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterlist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/moduledict.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/named_any.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterdict.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/modulelist.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/functional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/any_module_holder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/sequential.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/modules/container/any_value.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/modules/container creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/parallel copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/parallel/data_parallel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/parallel creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils/convert_parameters.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils/clip_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/nn/utils/rnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/nn/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/sgd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/optimizer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/adagrad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/serialize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/adam.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/lbfgs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/adamw.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/rmsprop.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/schedulers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/schedulers/lr_scheduler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/schedulers copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/optim/schedulers/step_lr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/optim/schedulers creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize/output-archive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize/input-archive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/serialize copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/api/include/torch/serialize/archive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/api/include/torch/serialize creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_cpp_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/graph_task.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/autograd_not_implemented_fallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/profiler_legacy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/edge.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/profiler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_saved_variable_hooks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_return_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/VariableTypeUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_sparse_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_legacy_variable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/saved_variable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/saved_variable_hooks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/cpp_hook.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_linalg_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_nested_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/variable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_nn_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_anomaly_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/jit_decomp_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/input_metadata.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/function_hook.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_enum_tag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/anomaly_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/symbolic.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_torch_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/profiler_python.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_variable_indexing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_special_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/input_buffer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_hook.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/engine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/profiler_kineto.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/record_function_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_autograd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/forward_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_engine.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/grad_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_variable.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/FunctionsManual.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/autograd.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/custom_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/python_fft_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/InferenceMode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/basic_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/pybind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/accumulate_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/functions/comm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/functions creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/generated copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated/python_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/generated copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated/VariableType.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/generated copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated/Functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/generated copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/generated/variable_factories.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/generated creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/python_arg_parsing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/wrap_outputs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/warnings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/error_messages.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/lambda_post_hook.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/autograd/utils/grad_layout_contract.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/autograd/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/Stream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/python_comm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/THCP.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/device_set.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/python_nccl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/nccl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/Event.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/memory_snapshot.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/comm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/CUDAPluggableAllocator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/cuda/Module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/logging.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/TraceUtils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/debug.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/python_comm_hook.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/error.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/exception.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/c10d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/socket.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupUCC.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/TCPStore.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/UCCUtils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/logger.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/WinSockUtils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/default_comm_hooks.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/NCCLUtils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupGloo.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/Utils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/comm.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupMPI.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/PrefixStore.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/GlooDeviceFactory.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/reducer.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/sequence_num.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupWrapper.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/UCCTracing.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/UnixSockUtils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupRoundRobin.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/Store.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/FileStore.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/UCCForNCCL.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/reducer_timer.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroup.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/PyProcessGroup.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/Backend.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/Work.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/ParamCommsUtils.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/HashStore.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/c10d/Types.hpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/c10d creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/torchscript_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/request_callback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/unpickled_python_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/script_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/tensorpipe_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/message.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/request_callback_no_python.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/python_resp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rref_context.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/script_remote_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/py_rref.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/tensorpipe_agent.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/python_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rref_proto.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/request_callback_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rpc_agent.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rref_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/agent_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/unpickled_python_remote_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rpc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/rpc_command_base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/python_rpc_handler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/python_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/python_remote_call.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/distributed/rpc/script_resp.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/distributed/rpc creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/resource_guard.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/jit_log.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/jit_opt_limit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_resolver.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_debug_handler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_preprocess.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_debug_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_exception.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/backends/backend_detail.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/backends creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_graph_optimizations.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/decompose_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/clear_undefinedness.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/batch_mm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/fold_conv_bn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/canonicalize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/vulkan_rewrite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/lower_graph.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/requires_grad_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/check_strict_fusion.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/metal_rewrite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/graph_fuser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/annotate_warns.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/symbolic_shape_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_expands.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/constant_pooling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/shape_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/loop_unrolling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/refine_tuple_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/value_refinement_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/bailout_graph.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_concat_linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/mobile_optimizer_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/pass_manager.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/eliminate_no_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/guard_elimination.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/hoist_conv_packed_params.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/fuse_relu.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_mutation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/erase_number_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/variadic_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/clear_profiling.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/canonicalize_graph_fuser_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/common_subexpression_elimination.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/create_functional_graphs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/lift_closures.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/prepack_folding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/peephole_non_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/inplace_check.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/normalize_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/autocast.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/symbolic_shape_cache.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/freeze_module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/inline_fork_wait.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/symbolic_shape_runtime_fusion.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/peephole_list_idioms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/xnnpack_rewrite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/restore_mutation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_linear_transpose.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/specialize_autogradzero.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/lower_tuples.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/inline_autodiff_subgraphs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/graph_rewrite_helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_dropout.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/peephole.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/device_type_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/fixup_trace_scope_blocks.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_redundant_profiles.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/fold_linear_bn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/dtype_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/liveness.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/update_differentiable_graph_requires_grad.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/onnx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_ops_to_mkldnn.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/dead_code_elimination.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_linear_folding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/onednn_graph_fuser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/constant_propagation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/replacement_of_old_operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/insert_guards.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/mkldnn_rewrite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/create_autodiff_subgraphs.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/peephole_dict_idioms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/concat_opt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/inline_forked_closures.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/lower_grad_of.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/integer_value_refinement.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/tensorexpr_fuser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/add_if_then_else.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/inliner.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/fuse_linear.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/remove_inplace_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/cuda_graph_fuser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_conv_add_relu_fusion.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/frozen_conv_folding.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/peephole_alias_sensitive.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/subgraph_rewrite.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/helper.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/quantization_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/dedup_module_uses.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/quantization_patterns.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/fusion_passes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/insert_quant_dequant.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/insert_observers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/register_packed_params.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/quantization/finalize.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/quantization creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils/subgraph_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils/optimization_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils/check_alias_annotation.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils/op_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/passes/utils/memory_dag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/passes/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/logging.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/graph_iterator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/script_profile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/decomposition_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/decomposition_registry_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/symbolic_shape_registry_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/argument_spec.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/register_ops_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/variable_tensor_list.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/custom_operator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/profiling_graph_executor_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/serialized_shape_function_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/vararg_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/graph_executor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/operator_options.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/interpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/autodiff.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/exception_message.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/jit_exception.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/operator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/print_handler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/shape_function_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/calculate_necessary_args.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/graph_executor_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/profiling_record.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/symbolic_script.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/instruction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/jit_trace.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/simple_graph_executor_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/slice_indices_adjust.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/runtime/symbolic_shape_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/runtime creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/alias_analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/constants.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/scope.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/subgraph_matcher.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/ir_views.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/attributes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/graph_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/node_hashing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/named_value.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/irparser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/graph_node_list.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/type_hashing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/ir/ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/ir creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/source_range.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/lexer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/strtod.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/parser_constants.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/function_schema_parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/parse_string_literal.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/schema_type_parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/error_report.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/tree.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/versioned_symbols.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/canonicalize_modified_loop.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/concrete_module_type.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/schema_matching.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/inline_loop_condition.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/script_type_parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/tracer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/sugared_value.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/tree_views.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/resolver.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/edit_distance.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/exit_transforms.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/convert_to_ssa.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/name_mangler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/ir_emitter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/mini_environment.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/builtin_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/frontend/source_ref.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/frontend creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api/object.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api/method.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api/module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api/compilation_unit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/api/function_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/callstack_debug_info_serialization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/source_range_serialization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/mobile_bytecode_generated.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/source_range_serialization_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_export_constants.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_read.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/python_print.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/flatbuffer_serializer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/pickle.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_legacy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_source.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/flatbuffer_serializer_jit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_export_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/storage_context.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/import_export_helpers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/type_name_uniquer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/onnx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/unpickler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/export.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/export_bytecode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/serialization/pickler.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/serialization creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_sugared_value.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_arg_flatten.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/script_init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_tracer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/module_python.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_custom_class.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_dict.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/pybind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/pybind_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/update_graph_executor_opt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_tree_views.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_ivalue.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/python/python_list.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/python creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/quantization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/prim_ops_registery.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/import.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/debug_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/type_parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/observer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/flatbuffer_loader.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/register_ops_common_utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/parse_operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/parse_bytecode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/interpreter.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/promoted_prim_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/method.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/profiler_edge.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/import_export_common.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/file_format.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/code.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/frame.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/upgrader_mobile.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/module.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/mobile/import_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/mobile creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/testing copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/testing/file_check.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/testing copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/testing/hooks_for_testing.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/testing creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/hash_provider.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/lowerings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_verifier.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/analysis.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/llvm_codegen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/external_functions_registry.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/bounds_inference.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/eval.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/bounds_overlap.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/cpp_intrinsics.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/half_support.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/fwd_decls.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_simplifier.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/expr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/cuda_codegen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/intrinsic_symbols.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/llvm_jit.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/mem_dependency_checker.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/tensorexpr_init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_cloner.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/reduction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/block_codegen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/stmt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_visitor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/kernel.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/cpp_codegen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/codegen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/loopnest.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/external_functions_core.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/cuda_random.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/graph_opt.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/var_substitutor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/exceptions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/loopnest_randomization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/unique_name_manager.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/external_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_mutator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir_printer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/registerizer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/quantization.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/matmul.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/norm.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/reduction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/misc.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/pointwise.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/softmax.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/tensorexpr/operators/conv2d.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/tensorexpr/operators creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/codegen creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/codegen/cuda copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/jit/codegen/cuda/interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/jit/codegen/cuda creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/onnx copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/onnx/init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/onnx copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/onnx/onnx.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/onnx creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/perf.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/collection.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/data_flow.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/kineto_shim.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/events.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/perf-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/api.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/containers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/orchestration copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration/vulkan.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/orchestration copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration/python_tracer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/orchestration copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/orchestration/observer.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/orchestration creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/stubs copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/profiler/stubs/base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/profiler/stubs creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/memory.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/invalid_arguments.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/byte_order.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_new.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/torch_dispatch_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_strings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/auto_gil.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_compat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_memoryformats.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_tuples.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_flatten.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_arg_parser.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/disable_torch_function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/variadic.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/numpy_stub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/cpp_stacktraces.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/pythoncapi_compat.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/cuda_enabled.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_torch_function_mode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/pycfunction_helpers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/pybind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_apply.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_stub.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/throughput_benchmark-inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_dispatch.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/throughput_benchmark.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/nested.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_qschemes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_numpy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/cuda_lazy_init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_numbers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_symnode.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_layouts.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/object_ptr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_dtypes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/tensor_list.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/six.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/structseq.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/schema_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/out_types.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/utils/python_scalars.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/utils creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/tensor copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/tensor/python_tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/tensor creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend/backend_device.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend/backend_interface.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend/lowering_context.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/backend/backend_data.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/backend creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ir_builder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/tensor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/dynamic_ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/unique.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ir_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/thread_pool.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/permutation_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/lazy_graph_executor.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/multi_wait.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ir_dump_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/shape.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/cache.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/trie.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/hash.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/debug_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ir_metadata.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/shape_inference.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/tensor_util.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/config.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/tensor_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/helpers.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/metrics.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core/internal_ops copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/internal_ops/ltc_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core/internal_ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core/ops copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ops/arithmetic_ir_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core/ops copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/core/ops/utils.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/core/ops creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_autograd_functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ir_builder.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/dynamic_ir.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_node.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_node_lowering.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_eager_fallback.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/tensor_aten_ops.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_backend_impl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/ts_lowering_context.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend copying build/lib.linux-x86_64-cpython-310/torch/include/torch/csrc/lazy/ts_backend/config.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/torch/csrc/lazy/ts_backend creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/eigen.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/complex.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/cast.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/buffer_info.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/functional.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/eval.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/common.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/stl_bind.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/options.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/iostream.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/stl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/attr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/chrono.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/pybind11.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/gil.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/pytypes.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/embed.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/numpy.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11 creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/common.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/init.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/typeid.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/type_caster_base.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/internals.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/class.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail copying build/lib.linux-x86_64-cpython-310/torch/include/pybind11/detail/descr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/pybind11/detail creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/THC copying build/lib.linux-x86_64-cpython-310/torch/include/THC/THCAtomics.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/THC copying build/lib.linux-x86_64-cpython-310/torch/include/THC/THCDeviceUtils.cuh -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/include/THC creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/ATen copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/ATen/ATenConfig.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/ATen creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2 copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Caffe2ConfigVersion.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2 copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Caffe2Config.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2 copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Caffe2Targets.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2 copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Caffe2Targets-release.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2 creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/cuda.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/glog.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/gflags.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/mkl.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/mkldnn.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/protobuf.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/utils.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/public/LoadHIP.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/public creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDA.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDNN.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/CMakeInitializeConfigs.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageMessage.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/run_nvcc.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/parse_cubin.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Tensorpipe copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Tensorpipe/TensorpipeTargets.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Tensorpipe copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Tensorpipe/TensorpipeTargets-release.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Tensorpipe creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Torch copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Torch/TorchConfigVersion.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Torch copying build/lib.linux-x86_64-cpython-310/torch/share/cmake/Torch/TorchConfig.cmake -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/share/cmake/Torch copying build/lib.linux-x86_64-cpython-310/torch/_C.cpython-310-x86_64-linux-gnu.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch copying build/lib.linux-x86_64-cpython-310/torch/_C_flatbuffer.cpython-310-x86_64-linux-gnu.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/nvfuser copying build/lib.linux-x86_64-cpython-310/nvfuser/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/nvfuser copying build/lib.linux-x86_64-cpython-310/nvfuser/_C.cpython-310-x86_64-linux-gnu.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/nvfuser creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen_backend_stubs.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/utils.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/native_function_generation.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/context.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen_vmap_plumbing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/code_template.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/local.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/model.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen_executorch.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen_lazy_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen copying build/lib.linux-x86_64-cpython-310/torchgen/gen_functionalization_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build copying build/lib.linux-x86_64-cpython-310/torchgen/selective_build/selector.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build copying build/lib.linux-x86_64-cpython-310/torchgen/selective_build/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build copying build/lib.linux-x86_64-cpython-310/torchgen/selective_build/operator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/lazy_ts_lowering.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/ufunc.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/native_functions.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/register_dispatch_key.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest copying build/lib.linux-x86_64-cpython-310/torchgen/dest/lazy_ir.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/structured.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/dispatcher.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/functionalization.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/native.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/ufunc.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/cpp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/autograd.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/unboxing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/translate.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/python.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/lazy.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api copying build/lib.linux-x86_64-cpython-310/torchgen/api/meta.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/api/types/types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/api/types/types_base.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/api/types/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/api/types/signatures.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions copying build/lib.linux-x86_64-cpython-310/torchgen/operator_versions/gen_mobile_upgraders_constant.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions copying build/lib.linux-x86_64-cpython-310/torchgen/operator_versions/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions copying build/lib.linux-x86_64-cpython-310/torchgen/operator_versions/gen_mobile_upgraders.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime copying build/lib.linux-x86_64-cpython-310/torchgen/static_runtime/gen_static_runtime_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime copying build/lib.linux-x86_64-cpython-310/torchgen/static_runtime/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime copying build/lib.linux-x86_64-cpython-310/torchgen/static_runtime/generator.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime copying build/lib.linux-x86_64-cpython-310/torchgen/static_runtime/config.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/et_cpp.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/unboxing.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/custom_ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types/types.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types copying build/lib.linux-x86_64-cpython-310/torchgen/executorch/api/types/signatures.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/native copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native/native_functions.yaml -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/native copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/native/tags.yaml -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/native creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/DispatchKeyFunctions_inl.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/UfuncCUDA.cu -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Functions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterDispatchDefinitions.ini -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/LazyIr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/ATenOpList.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/CompositeViewCopyKernels.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RedispatchFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/UfuncCPUKernel.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Operators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/MethodOperators.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegistrationDeclarations.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterCodegenUnboxedKernels.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/TensorMethods.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/DispatchKeyFunction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Functions.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/FunctionalInverses.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/UfuncCPU.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/NativeFunction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/NativeMetaFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/UnboxingFunctions.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Function.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/NativeMetaFunction.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterFunctionalization.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/NativeFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterSchema.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RedispatchFunctions.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/DispatchKeyFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/LazyNonNativeIr.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/enum_tag.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/UnboxingFunctions.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterDispatchKey.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/aten_interned_strings.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Operator.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/TensorBody.h -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/RegisterBackendSelect.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/Operators.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates copying build/lib.linux-x86_64-cpython-310/torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.cpp -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/packaged/ATen/templates creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch copying build/lib.linux-x86_64-cpython-310/functorch/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/wrap_type.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/op_properties.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/reference.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/magic_trace.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/dim.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/delayed_mul_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/tree_map.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim copying build/lib.linux-x86_64-cpython-310/functorch/dim/batch_tensor.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental copying build/lib.linux-x86_64-cpython-310/functorch/experimental/_map.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental copying build/lib.linux-x86_64-cpython-310/functorch/experimental/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental copying build/lib.linux-x86_64-cpython-310/functorch/experimental/_cond.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental copying build/lib.linux-x86_64-cpython-310/functorch/experimental/ops.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental copying build/lib.linux-x86_64-cpython-310/functorch/experimental/control_flow.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src copying build/lib.linux-x86_64-cpython-310/functorch/_src/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/vmap copying build/lib.linux-x86_64-cpython-310/functorch/_src/vmap/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/vmap creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/make_functional copying build/lib.linux-x86_64-cpython-310/functorch/_src/make_functional/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/make_functional creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/aot_autograd copying build/lib.linux-x86_64-cpython-310/functorch/_src/aot_autograd/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/aot_autograd creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/eager_transforms copying build/lib.linux-x86_64-cpython-310/functorch/_src/eager_transforms/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/eager_transforms creating /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/compile copying build/lib.linux-x86_64-cpython-310/functorch/compile/__init__.py -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/compile copying build/lib.linux-x86_64-cpython-310/functorch/_C.cpython-310-x86_64-linux-gnu.so -> /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/types.py to types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_deploy.py to _deploy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/hub.py to hub.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/storage.py to storage.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_sources.py to _sources.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_classes.py to _classes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/torch_version.py to torch_version.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lobpcg.py to _lobpcg.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_torch_docs.py to _torch_docs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quasirandom.py to quasirandom.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/serialization.py to serialization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lowrank.py to _lowrank.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_weights_only_unpickler.py to _weights_only_unpickler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/__future__.py to __future__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_VF.py to _VF.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/__config__.py to __config__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/overrides.py to overrides.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_utils_internal.py to _utils_internal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_meta_registrations.py to _meta_registrations.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_vmap_internals.py to _vmap_internals.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/library.py to library.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_storage_docs.py to _storage_docs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_guards.py to _guards.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_ops.py to _ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_jit_internal.py to _jit_internal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/return_types.py to return_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_appdirs.py to _appdirs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_tensor_str.py to _tensor_str.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_tensor_docs.py to _tensor_docs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_tensor.py to _tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_linalg_utils.py to _linalg_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_namedtensor_internals.py to _namedtensor_internals.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/random.py to random.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_python_dispatcher.py to _python_dispatcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/version.py to version.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/lowering.py to lowering.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/mkldnn.py to mkldnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/fx_utils.py to fx_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/optimize_indexing.py to optimize_indexing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codecache.py to codecache.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/virtualized.py to virtualized.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/exc.py to exc.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/ir.py to ir.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/debug.py to debug.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/pattern_matcher.py to pattern_matcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/scheduler.py to scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/cuda_properties.py to cuda_properties.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/overrides.py to overrides.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/test_operators.py to test_operators.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/decomposition.py to decomposition.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/graph.py to graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/compile_fx.py to compile_fx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/sizevars.py to sizevars.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/dependencies.py to dependencies.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/select_algorithm.py to select_algorithm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/metrics.py to metrics.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/triton.py to triton.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/cpp.py to cpp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/wrapper.py to wrapper.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/autotuner.py to autotuner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/codegen/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/conv_perf_model.py to conv_perf_model.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/conv1x1.py to conv1x1.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/triton_ops/autotune.py to autotune.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel/mm_plus_mm.py to mm_plus_mm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel/bmm.py to bmm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel/mm_common.py to mm_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_inductor/kernel/mm.py to mm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/sparse/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/_docs.py to _docs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/_ops.py to _ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/reductions.py to reductions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/core.py to core.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/unary.py to unary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/_ops_refs.py to _ops_refs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/creation.py to creation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/passthrough.py to passthrough.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/masked/maskedtensor/binary.py to binary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims_common/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims_common/wrappers.py to wrappers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/func/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/pytree_hacks.py to pytree_hacks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/functional_call.py to functional_call.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/python_key.py to python_key.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/aot_autograd.py to aot_autograd.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/benchmark_utils.py to benchmark_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/compilers.py to compilers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/autograd_function.py to autograd_function.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/make_functional.py to make_functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/eager_transforms.py to eager_transforms.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/fx_minifier.py to fx_minifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/pyfunctorch.py to pyfunctorch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/top_operators_github_usage.py to top_operators_github_usage.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/partitioners.py to partitioners.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/batch_norm_replacement.py to batch_norm_replacement.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/deprecated.py to deprecated.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/vmap.py to vmap.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_functorch/compile_utils.py to compile_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/half_cauchy.py to half_cauchy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/categorical.py to categorical.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/gumbel.py to gumbel.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/continuous_bernoulli.py to continuous_bernoulli.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/pareto.py to pareto.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/kl.py to kl.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/one_hot_categorical.py to one_hot_categorical.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/lowrank_multivariate_normal.py to lowrank_multivariate_normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/lkj_cholesky.py to lkj_cholesky.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/beta.py to beta.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/dirichlet.py to dirichlet.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/multinomial.py to multinomial.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/gamma.py to gamma.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/kumaraswamy.py to kumaraswamy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/exponential.py to exponential.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/independent.py to independent.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/normal.py to normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/cauchy.py to cauchy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/distribution.py to distribution.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/relaxed_categorical.py to relaxed_categorical.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/transforms.py to transforms.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/transformed_distribution.py to transformed_distribution.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/constraint_registry.py to constraint_registry.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/relaxed_bernoulli.py to relaxed_bernoulli.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/von_mises.py to von_mises.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/half_normal.py to half_normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/chi2.py to chi2.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/weibull.py to weibull.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/mixture_same_family.py to mixture_same_family.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/negative_binomial.py to negative_binomial.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/constraints.py to constraints.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/geometric.py to geometric.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/fishersnedecor.py to fishersnedecor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/binomial.py to binomial.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/log_normal.py to log_normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/uniform.py to uniform.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/bernoulli.py to bernoulli.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/exp_family.py to exp_family.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/wishart.py to wishart.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/poisson.py to poisson.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/laplace.py to laplace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/logistic_normal.py to logistic_normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/studentT.py to studentT.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributions/multivariate_normal.py to multivariate_normal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/ts_backend.py to ts_backend.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/tensor_factory_functions.py to tensor_factory_functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/debug.py to debug.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/computation.py to computation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/ir_cache.py to ir_cache.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/closure.py to closure.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/extract_compiled_graph.py to extract_compiled_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/device_context.py to device_context.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_lazy/metrics.py to metrics.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dispatch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dispatch/python.py to python.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/init.py to init.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/grad.py to grad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/_reduction.py to _reduction.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/cpp.py to cpp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/common_types.py to common_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parameter.py to parameter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/distributed.py to distributed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/_replicated_tensor_ddp_utils.py to _replicated_tensor_ddp_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/scatter_gather.py to scatter_gather.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/_replicated_tensor_ddp_interop.py to _replicated_tensor_ddp_interop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/replicate.py to replicate.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/parallel_apply.py to parallel_apply.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/_functions.py to _functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/data_parallel.py to data_parallel.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/parallel/comm.py to comm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/backends/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/backends/thnn.py to thnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules/embedding_ops.py to embedding_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/qat/dynamic/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/pooling.py to pooling.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/loss.py to loss.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/instancenorm.py to instancenorm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/distance.py to distance.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/sparse.py to sparse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/padding.py to padding.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/module.py to module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/container.py to container.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/dropout.py to dropout.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/lazy.py to lazy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/flatten.py to flatten.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/fold.py to fold.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/normalization.py to normalization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/batchnorm.py to batchnorm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/_functions.py to _functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/transformer.py to transformer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/activation.py to activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/adaptive.py to adaptive.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/upsampling.py to upsampling.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/channelshuffle.py to channelshuffle.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/modules/pixelshuffle.py to pixelshuffle.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules/conv_fused.py to conv_fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules/linear_fused.py to linear_fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/qat/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/modules/fused.py to fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules/bn_relu.py to bn_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules/conv_relu.py to conv_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/intrinsic/quantized/dynamic/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/init.py to init.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_named_member_accessor.py to _named_member_accessor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/parametrize.py to parametrize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/fusion.py to fusion.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/clip_grad.py to clip_grad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/weight_norm.py to weight_norm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_per_sample_grad.py to _per_sample_grad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_deprecation_utils.py to _deprecation_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/stateless.py to stateless.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/convert_parameters.py to convert_parameters.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/memory_format.py to memory_format.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/spectral_norm.py to spectral_norm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/parametrizations.py to parametrizations.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/prune.py to prune.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_expanded_weights.py to conv_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/linear_expanded_weights.py to linear_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/embedding_expanded_weights.py to embedding_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py to conv_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py to expanded_weights_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/group_norm_expanded_weights.py to group_norm_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/layer_norm_expanded_weights.py to layer_norm_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/instance_norm_expanded_weights.py to instance_norm_expanded_weights.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_impl.py to expanded_weights_impl.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/functional_modules.py to functional_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/dropout.py to dropout.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/normalization.py to normalization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/batchnorm.py to batchnorm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/embedding_ops.py to embedding_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/activation.py to activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/sparse.py to sparse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/_reference/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantized/dynamic/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nn/quantizable/modules/activation.py to activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/contrib/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/contrib/_tensorboard_vis.py to _tensorboard_vis.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/_conversions.py to _conversions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/fft.py to fft.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/nn/functional/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/linalg/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_refs/special/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/sparse/quantized/dynamic/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules/embedding_ops.py to embedding_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/qat/dynamic/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/conv_fused.py to conv_fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_fused.py to linear_fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/modules/fused.py to fused.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/conv_add.py to conv_add.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/bn_relu.py to bn_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/conv_relu.py to conv_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py to linear_relu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/functional_modules.py to functional_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/dropout.py to dropout.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/normalization.py to normalization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/batchnorm.py to batchnorm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py to embedding_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/activation.py to activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/sparse.py to sparse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/reference/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py to conv.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/nn/quantizable/modules/activation.py to activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/_numeric_suite_fx.py to _numeric_suite_fx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/_numeric_suite.py to _numeric_suite.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/graph_matcher.py to graph_matcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/n_shadows_utils.py to n_shadows_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/qconfig_multi_mapping.py to qconfig_multi_mapping.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/pattern_utils.py to pattern_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/graph_passes.py to graph_passes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/ns_types.py to ns_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/mappings.py to mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/ns/fx/weight_utils.py to weight_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/quantize.py to quantize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/quantize_jit.py to quantize_jit.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fuse_modules.py to fuse_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/observer.py to observer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/qconfig.py to qconfig.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_equalize.py to _equalize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/quant_type.py to quant_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/quantization_mappings.py to quantization_mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_quantize_pt2e.py to _quantize_pt2e.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/quantize_fx.py to quantize_fx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fuser_method_mappings.py to fuser_method_mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_learnable_fake_quantize.py to _learnable_fake_quantize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/stubs.py to stubs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_correct_bias.py to _correct_bias.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/qconfig_mapping.py to qconfig_mapping.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fake_quantize.py to fake_quantize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/custom_config.py to custom_config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_equalize.py to _equalize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/fuse.py to fuse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_lower_to_native_backend.py to _lower_to_native_backend.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_decomposed.py to _decomposed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/prepare.py to prepare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/fuse_handler.py to fuse_handler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/pattern_utils.py to pattern_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/qconfig_mapping_utils.py to qconfig_mapping_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/graph_module.py to graph_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/tracer.py to tracer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/quantize_handler.py to quantize_handler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/match_utils.py to match_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/lower_to_qnnpack.py to lower_to_qnnpack.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/convert.py to convert.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/lower_to_fbgemm.py to lower_to_fbgemm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_observer.py to model_report_observer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report.py to model_report.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report/detector.py to detector.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py to model_report_visualizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/_qnnpack_pt2e.py to _qnnpack_pt2e.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/native.py to native.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/fbgemm.py to fbgemm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/observation_type.py to observation_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/_common_operator_config_utils.py to _common_operator_config_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/backend_config.py to backend_config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/tensorrt.py to tensorrt.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/qnnpack.py to qnnpack.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/x86.py to x86.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/onednn.py to onednn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/backend_config/executorch.py to executorch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_pt2e/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/quantization/_pt2e/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_mappings.py to _mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py to base_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier/nearly_diagonal_sparsifier.py to nearly_diagonal_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/sparsifier/weight_norm_sparsifier.py to weight_norm_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py to lambda_scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler/base_scheduler.py to base_scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler/cubic_scheduler.py to cubic_scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/scheduler/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py to base_data_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/quantization_utils.py to quantization_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/data_norm_sparsifier.py to data_norm_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/data_sparsity.py to data_sparsity.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/_data_sparstity_utils.py to _data_sparstity_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py to activation_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py to base_data_scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/saliency_pruner.py to saliency_pruner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/base_structured_sparsifier.py to base_structured_sparsifier.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/prune_functions.py to prune_functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/parametrization.py to parametrization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/lstm_saliency_pruner.py to lstm_saliency_pruner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/ao/pruning/_experimental/pruner/match_utils.py to match_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/profiler_legacy.py to profiler_legacy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/forward_ad.py to forward_ad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/variable.py to variable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/profiler_util.py to profiler_util.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/anomaly_mode.py to anomaly_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/grad_mode.py to grad_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/profiler.py to profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/graph.py to graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/gradcheck.py to gradcheck.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/function.py to function.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/autograd/_functions/tensor.py to tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkldnn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/opt_einsum/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xnnpack/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_coreml/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_coreml/preprocess.py to preprocess.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xeon/run_cpu.py to run_cpu.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/xeon/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/quantized/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mps/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/openmp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cudnn/rnn.py to rnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cudnn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/cuda/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/mkl/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi/prepare.py to prepare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi/serializer.py to serializer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/backends/_nnapi/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/adadelta.py to adadelta.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/lbfgs.py to lbfgs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/rmsprop.py to rmsprop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/sgd.py to sgd.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/optimizer.py to optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/_functional.py to _functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/radam.py to radam.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/adamw.py to adamw.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/rprop.py to rprop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/asgd.py to asgd.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/swa_utils.py to swa_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/lr_scheduler.py to lr_scheduler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/adagrad.py to adagrad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/nadam.py to nadam.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/adamax.py to adamax.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/sparse_adam.py to sparse_adam.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/adam.py to adam.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/optim/_multi_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_recursive.py to _recursive.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/frontend.py to frontend.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_async.py to _async.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_trace.py to _trace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_decomposition_utils.py to _decomposition_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/unsupported_tensor_ops.py to unsupported_tensor_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_decompositions.py to _decompositions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/annotations.py to annotations.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_check.py to _check.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_shape_functions.py to _shape_functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_monkeytype_config.py to _monkeytype_config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_await.py to _await.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_logging.py to _logging.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/supported_ops.py to supported_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/quantized.py to quantized.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_serialization.py to _serialization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_state.py to _state.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_builtins.py to _builtins.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_dataclass_impls.py to _dataclass_impls.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/generate_bytecode.py to generate_bytecode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_script.py to _script.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_fuser.py to _fuser.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_pickle.py to _pickle.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_ir_utils.py to _ir_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_freeze.py to _freeze.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/mobile/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_passes/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/jit/_passes/_property_propagation.py to _property_propagation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/futures/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/nested/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_cuda_trace.py to _cuda_trace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_zip.py to _zip.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_pytree.py to _pytree.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_cpp_extension_versioner.py to _cpp_extension_versioner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/dlpack.py to dlpack.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/mkldnn.py to mkldnn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/checkpoint.py to checkpoint.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_foreach_utils.py to _foreach_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_crash_handler.py to _crash_handler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_contextlib.py to _contextlib.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/show_pickle.py to show_pickle.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/backend_registration.py to backend_registration.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hooks.py to hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_mode_utils.py to _mode_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_zoo.py to model_zoo.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/cpp_extension.py to cpp_extension.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/file_baton.py to file_baton.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_traceback.py to _traceback.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/collect_env.py to collect_env.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_device.py to _device.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/weak.py to weak.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_python_dispatch.py to _python_dispatch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/throughput_benchmark.py to throughput_benchmark.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/cpp_backtrace.py to cpp_backtrace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_stats.py to _stats.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_freeze.py to _freeze.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bundled_inputs.py to bundled_inputs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/mobile_optimizer.py to mobile_optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump/__main__.py to __main__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/model_dump/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/jit/log_extract.py to log_extract.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/jit/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_sympy/value_ranges.py to value_ranges.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/_sympy/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/op_benchmark.py to op_benchmark.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/blas_compare.py to blas_compare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/simple_timeit.py to simple_timeit.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/fuzzer.py to fuzzer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/end_to_end.py to end_to_end.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/spectral_ops_fuzz_test.py to spectral_ops_fuzz_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/blas_compare_setup.py to blas_compare_setup.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/examples/compare.py to compare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/sparse_fuzzer.py to sparse_fuzzer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/timer.py to timer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/_stubs.py to _stubs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/fuzzer.py to fuzzer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/cpp_jit.py to cpp_jit.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/compare.py to compare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py to timer_interface.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/spectral.py to spectral.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/unary.py to unary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/sparse_unary.py to sparse_unary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/sparse_binary.py to sparse_binary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/benchmark/op_fuzzers/binary.py to binary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/backcompat/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bottleneck/__main__.py to __main__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/bottleneck/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/distributed.py to distributed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/dataset.py to dataset.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/graph_settings.py to graph_settings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/dataloader.py to dataloader.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/graph.py to graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/sampler.py to sampler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/backward_compatibility.py to backward_compatibility.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/_typing.py to _typing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/datapipe.py to datapipe.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/_hook_iterator.py to _hook_iterator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/_decorator.py to _decorator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/gen_pyi.py to gen_pyi.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/combining.py to combining.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/combinatorics.py to combinatorics.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/grouping.py to grouping.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/map/callable.py to callable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils/decoder.py to decoder.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/utils/snapshot.py to snapshot.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/sharding.py to sharding.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/combining.py to combining.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/routeddecoder.py to routeddecoder.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/filelister.py to filelister.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/fileopener.py to fileopener.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/streamreader.py to streamreader.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/selecting.py to selecting.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/combinatorics.py to combinatorics.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/grouping.py to grouping.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/iter/callable.py to callable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe/dataframes.py to dataframes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe/dataframe_wrapper.py to dataframe_wrapper.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe/structures.py to structures.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/datapipes/dataframe/datapipes.py to datapipes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/signal_handling.py to signal_handling.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/collate.py to collate.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/serialization.py to serialization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/fetch.py to fetch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/worker.py to worker.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/data/_utils/pin_memory.py to pin_memory.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify/hipify_python.py to hipify_python.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify/version.py to version.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify/cuda_to_hip_mappings.py to cuda_to_hip_mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/hipify/constants.py to constants.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_proto_graph.py to _proto_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_convert_np.py to _convert_np.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/summary.py to summary.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_embedding.py to _embedding.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_caffe2_graph.py to _caffe2_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/writer.py to writer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_pytorch_graph.py to _pytorch_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/utils/tensorboard/_onnx_graph.py to _onnx_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses/meta_utils.py to meta_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses/fake_utils.py to fake_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_subclasses/fake_tensor.py to fake_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/spawn.py to spawn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/_atfork.py to _atfork.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/reductions.py to reductions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/queue.py to queue.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/multiprocessing/pool.py to pool.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/linalg/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_awaits/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/itt.py to itt.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/_memory_profiler.py to _memory_profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/_pattern_matcher.py to _pattern_matcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/profiler.py to profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/profiler/python_tracer.py to python_tracer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/_pytree.py to _pytree.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/operator_schemas.py to operator_schemas.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/traceback.py to traceback.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/_compatibility.py to _compatibility.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/tensor_type.py to tensor_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/annotate.py to annotate.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/proxy.py to proxy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/graph_module.py to graph_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/_symbolic_trace.py to _symbolic_trace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/graph.py to graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/interpreter.py to interpreter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/subgraph_rewriter.py to subgraph_rewriter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/node.py to node.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/immutable_collections.py to immutable_collections.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/normalize.py to normalize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/optimization.py to optimization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/merge_matmul.py to merge_matmul.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/symbolic_shapes.py to symbolic_shapes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/rewriter.py to rewriter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/graph_gradual_typechecker.py to graph_gradual_typechecker.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/debug.py to debug.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unify_refinements.py to unify_refinements.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/partitioner_utils.py to partitioner_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py to proxy_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/schema_type_annotation.py to schema_type_annotation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/accelerator_partitioner.py to accelerator_partitioner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/const_fold.py to const_fold.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/meta_tracer.py to meta_tracer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/refinement_types.py to refinement_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/constraint_generator.py to constraint_generator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/constraint_transformation.py to constraint_transformation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/z3_types.py to z3_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/transform_to_z3.py to transform_to_z3.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/util.py to util.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/operation.py to operation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/migrate_gradual_types/constraint.py to constraint.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/variable.py to variable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/match.py to match.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/more.py to more.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/core.py to core.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/unification_tools.py to unification_tools.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/dispatch.py to dispatch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py to dispatcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/core.py to core.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/conflict.py to conflict.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py to variadic.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/graph_drawer.py to graph_drawer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/splitter_base.py to splitter_base.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tools_common.py to tools_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/split_utils.py to split_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/annotate_getitem_nodes.py to annotate_getitem_nodes.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/fake_tensor_prop.py to fake_tensor_prop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/operator_support.py to operator_support.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/param_fetch.py to param_fetch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/reinplace.py to reinplace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/split_module.py to split_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/graph_manipulation.py to graph_manipulation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/net_min_base.py to net_min_base.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/shape_prop.py to shape_prop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/pass_manager.py to pass_manager.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/common/cse_pass.py to cse_pass.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/dialect/common/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/backends/cudagraphs.py to cudagraphs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/backends/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra/partitioner.py to partitioner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra/pass_base.py to pass_base.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/infra/pass_manager.py to pass_manager.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils/matcher_utils.py to matcher_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils/fuser_utils.py to fuser_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/utils/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tests/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fx/passes/tests/test_pass_manager.py to test_pass_manager.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/special/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/amp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/amp/autocast_mode.py to autocast_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_export/logical_schema.py to logical_schema.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_export/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp/decompositions.py to decompositions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_decomp/decompositions_for_jvp.py to decompositions_for_jvp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/monitor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/glob_group.py to glob_group.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_stdlib.py to _stdlib.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/package_importer.py to package_importer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_directory_reader.py to _directory_reader.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/file_structure_representation.py to file_structure_representation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_digraph.py to _digraph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/importer.py to importer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/package_exporter.py to package_exporter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/find_file_dependencies.py to find_file_dependencies.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_mangling.py to _mangling.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_mock.py to _mock.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_importlib.py to _importlib.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_package_unpickler.py to _package_unpickler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/_package_pickler.py to _package_pickler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze/is_from_package.py to is_from_package.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze/trace_dependencies.py to trace_dependencies.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze/find_first_use_of_broken_modules.py to find_first_use_of_broken_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/package/analyze/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/mps/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims/executor.py to executor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims/nvfuser_executor.py to nvfuser_executor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims/context.py to context.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims/nvfuser_prims.py to nvfuser_prims.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_prims/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset8.py to symbolic_opset8.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_experimental.py to _experimental.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset15.py to symbolic_opset15.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/verification.py to verification.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset10.py to symbolic_opset10.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_helper.py to symbolic_helper.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_type_utils.py to _type_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset17.py to symbolic_opset17.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset16.py to symbolic_opset16.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_onnx_supported_ops.py to _onnx_supported_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/errors.py to errors.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_exporter_states.py to _exporter_states.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset18.py to symbolic_opset18.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_globals.py to _globals.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset12.py to symbolic_opset12.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/operators.py to operators.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset11.py to symbolic_opset11.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset13.py to symbolic_opset13.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset14.py to symbolic_opset14.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_deprecation.py to _deprecation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset9.py to symbolic_opset9.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_constants.py to _constants.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_caffe2.py to symbolic_caffe2.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/symbolic_opset7.py to symbolic_opset7.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/onnx_proto_utils.py to onnx_proto_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/jit_utils.py to jit_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/registration.py to registration.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/_beartype.py to _beartype.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/diagnostics.py to diagnostics.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/context.py to context.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/exporter.py to exporter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/options.py to options.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/fx/function_dispatcher.py to function_dispatcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/_rules.py to _rules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/_diagnostic.py to _diagnostic.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/_infra.py to _infra.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/formatter.py to formatter.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/engine.py to engine.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/decorator.py to decorator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_graph_traversal.py to _graph_traversal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_message.py to _message.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_change.py to _artifact_change.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_version_control_details.py to _version_control_details.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_external_properties.py to _external_properties.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_result.py to _result.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_tool_component_reference.py to _tool_component_reference.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor.py to _reporting_descriptor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_node.py to _node.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_location.py to _location.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_run.py to _run.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_rectangle.py to _rectangle.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_run_automation_details.py to _run_automation_details.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_content.py to _artifact_content.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_configuration_override.py to _configuration_override.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_conversion.py to _conversion.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_edge.py to _edge.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_sarif_log.py to _sarif_log.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_exception.py to _exception.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_edge_traversal.py to _edge_traversal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_result_provenance.py to _result_provenance.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow.py to _thread_flow.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_suppression.py to _suppression.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_reference.py to _reporting_descriptor_reference.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_web_response.py to _web_response.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_fix.py to _fix.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_special_locations.py to _special_locations.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_references.py to _external_property_file_references.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_notification.py to _notification.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_replacement.py to _replacement.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_invocation.py to _invocation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_web_request.py to _web_request.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_graph.py to _graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_stack.py to _stack.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_tool.py to _tool.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_multiformat_message_string.py to _multiformat_message_string.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_code_flow.py to _code_flow.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/version.py to version.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_logical_location.py to _logical_location.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_reference.py to _external_property_file_reference.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_region.py to _region.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_property_bag.py to _property_bag.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_translation_metadata.py to _translation_metadata.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_stack_frame.py to _stack_frame.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow_location.py to _thread_flow_location.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_artifact_location.py to _artifact_location.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_tool_component.py to _tool_component.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_location_relationship.py to _location_relationship.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_artifact.py to _artifact.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_relationship.py to _reporting_descriptor_relationship.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_address.py to _address.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_physical_location.py to _physical_location.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_attachment.py to _attachment.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/onnx/_internal/diagnostics/infra/sarif/_reporting_configuration.py to _reporting_configuration.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_comparison.py to _comparison.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_creation.py to _creation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_modules.py to common_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/logging_tensor.py to logging_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/composite_compliance.py to composite_compliance.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_fsdp.py to common_fsdp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_dist_composable.py to common_dist_composable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_device_type.py to common_device_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_quantization.py to common_quantization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_utils.py to common_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_jit.py to common_jit.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/check_kernel_launches.py to check_kernel_launches.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_quantized.py to common_quantized.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_methods_invocations.py to common_methods_invocations.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/autograd_function_db.py to autograd_function_db.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/inductor_utils.py to inductor_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_distributed.py to common_distributed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_subclass.py to common_subclass.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_pruning.py to common_pruning.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/quantization_torch_package_models.py to quantization_torch_package_models.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/jit_utils.py to jit_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/autocast_test_lists.py to autocast_test_lists.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_cuda.py to common_cuda.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_dtype.py to common_dtype.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/schema_check_mode.py to schema_check_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/dist_utils.py to dist_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/hypothesis_utils.py to hypothesis_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/jit_metaprogramming_utils.py to jit_metaprogramming_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/common_nn.py to common_nn.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/generated/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/generated/annotated_fn_args.py to annotated_fn_args.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/codegen/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/codegen/random_topo_test.py to random_topo_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data/network2.py to network2.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/data/network1.py to network1.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/core.py to core.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/refs.py to refs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/signal.py to signal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/linalg.py to linalg.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/_masked.py to _masked.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/special.py to special.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/opinfo/definitions/fft.py to fft.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/distributed_test.py to distributed_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py to ddp_under_dist_autograd_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/distributed_utils.py to distributed_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/pipe_with_ddp_test.py to pipe_with_ddp_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc_utils.py to rpc_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/multi_threaded_pg.py to multi_threaded_pg.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/checkpoint_utils.py to checkpoint_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/api/remote_module_test.py to remote_module_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/nn/api/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py to common_dtensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/pipeline/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/test_common.py to test_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor/_test_st_common.py to _test_st_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/_shard/sharded_tensor/_test_ops_common.py to _test_ops_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/dist_optimizer_test.py to dist_optimizer_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/rpc_test.py to rpc_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/faulty_rpc_agent_test_fixture.py to faulty_rpc_agent_test_fixture.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/faulty_agent_rpc_test.py to faulty_agent_rpc_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/dist_autograd_test.py to dist_autograd_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/rpc_agent_test_fixture.py to rpc_agent_test_fixture.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/tensorpipe_rpc_agent_test_fixture.py to tensorpipe_rpc_agent_test_fixture.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples/parameter_server_test.py to parameter_server_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples/reinforcement_learning_rpc_test.py to reinforcement_learning_rpc_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/examples/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit/rpc_test_faulty.py to rpc_test_faulty.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit/rpc_test.py to rpc_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py to dist_autograd_test.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module/no_future_div.py to no_future_div.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module/future_div.py to future_div.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/testing/_internal/test_module/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/quantize.py to quantize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/quantize_jit.py to quantize_jit.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fuse_modules.py to fuse_modules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/_numeric_suite_fx.py to _numeric_suite_fx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/observer.py to observer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/qconfig.py to qconfig.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/quant_type.py to quant_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/quantization_mappings.py to quantization_mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/quantize_fx.py to quantize_fx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fuser_method_mappings.py to fuser_method_mappings.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/_numeric_suite.py to _numeric_suite.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/stubs.py to stubs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fake_quantize.py to fake_quantize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/_equalize.py to _equalize.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/fuse.py to fuse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/fusion_patterns.py to fusion_patterns.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/prepare.py to prepare.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/quantization_types.py to quantization_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/pattern_utils.py to pattern_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/graph_module.py to graph_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/quantization_patterns.py to quantization_patterns.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/match_utils.py to match_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/quantization/fx/convert.py to convert.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launch.py to launch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/c10d_error_logger.py to c10d_error_logger.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/remote_device.py to remote_device.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rendezvous.py to rendezvous.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/logging_handlers.py to logging_handlers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/argparse_util.py to argparse_util.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable_state.py to _composable_state.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/distributed_c10d.py to distributed_c10d.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/run.py to run.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/constants.py to constants.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/planner_helpers.py to planner_helpers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/storage.py to storage.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/optimizer.py to optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/_traverse.py to _traverse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/_sharded_tensor_utils.py to _sharded_tensor_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/planner.py to planner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/_nested_dict.py to _nested_dict.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/filesystem.py to filesystem.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/_dedup_tensors.py to _dedup_tensors.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/metadata.py to metadata.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/default_planner.py to default_planner.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/state_dict_saver.py to state_dict_saver.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/resharding.py to resharding.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/state_dict_loader.py to state_dict_loader.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/checkpoint/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/wrap.py to wrap.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_trace_utils.py to _trace_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_fsdp_extensions.py to _fsdp_extensions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_state_dict_utils.py to _state_dict_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_limiter_utils.py to _limiter_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_traversal_utils.py to _traversal_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_unshard_param_utils.py to _unshard_param_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_init_utils.py to _init_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_shard_utils.py to _shard_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_dynamo_utils.py to _dynamo_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_common_utils.py to _common_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py to fully_sharded_data_parallel.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_exec_order_utils.py to _exec_order_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_runtime_utils.py to _runtime_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/sharded_grad_scaler.py to sharded_grad_scaler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/flat_param.py to flat_param.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_wrap_utils.py to _wrap_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/fsdp/_optim_utils.py to _optim_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/join.py to join.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_checkpoint/checkpoint_wrapper.py to checkpoint_wrapper.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_checkpoint/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py to hierarchical_model_averager.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/model_averaging/averagers.py to averagers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_comm_hooks/default_hooks.py to default_hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_comm_hooks/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/ddp_zero_hook.py to ddp_zero_hook.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/optimizer_overlap_hooks.py to optimizer_overlap_hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py to default_hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py to quantization_hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py to powerSGD_hook.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py to post_localSGD_hook.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py to debugging_hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_quantization/quantization.py to quantization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_quantization/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_optimizer_overlap/optimizer_overlap.py to optimizer_overlap.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/algorithms/_optimizer_overlap/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/functional.py to functional.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/instantiator.py to instantiator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/templates/remote_module_template.py to remote_module_template.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/jit/templates/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/api/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/nn/api/remote_module.py to remote_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launcher/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/launcher/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/autograd/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharding_spec/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/post_localSGD_optimizer.py to post_localSGD_optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/optimizer.py to optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_adam.py to functional_adam.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_sgd.py to functional_sgd.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py to zero_redundancy_optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_rprop.py to functional_rprop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/named_optimizer.py to named_optimizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_rmsprop.py to functional_rmsprop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_adamax.py to functional_adamax.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/apply_optimizer_in_backward.py to apply_optimizer_in_backward.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_adadelta.py to functional_adadelta.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_adagrad.py to functional_adagrad.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/optim/functional_adamw.py to functional_adamw.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/checkpoint_activation.py to checkpoint_activation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/contract.py to contract.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/_ddp.py to _ddp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/replicate.py to replicate.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_composable/fully_shard.py to fully_shard.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/redistribute.py to redistribute.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/placement_types.py to placement_types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/dispatch.py to dispatch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/op_schema.py to op_schema.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/device_mesh.py to device_mesh.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/sharding_prop.py to sharding_prop.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/matrix_ops.py to matrix_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/math_ops.py to math_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/pointwise_ops.py to pointwise_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/view_ops.py to view_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/tensor_ops.py to tensor_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tensor/ops/common_rules.py to common_rules.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/_view_with_dim_change.py to _view_with_dim_change.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/multihead_attention_tp.py to multihead_attention_tp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/style.py to style.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/tensor/parallel/fsdp.py to fsdp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_sharded_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server/local_elastic_agent.py to local_elastic_agent.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/metrics/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/metrics/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events/handlers.py to handlers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/events/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/logging.py to logging.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/distributed.py to distributed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/log_level.py to log_level.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/store.py to store.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data/cycling_iterator.py to cycling_iterator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/utils/data/elastic_distributed_sampler.py to elastic_distributed_sampler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/tail_log.py to tail_log.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/redirects.py to redirects.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/handlers.py to handlers.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/error_handler.py to error_handler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer/local_timer.py to local_timer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer/file_based_local_timer.py to file_based_local_timer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/timer/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/etcd_server.py to etcd_server.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py to c10d_rendezvous_backend.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/registry.py to registry.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/etcd_rendezvous_backend.py to etcd_rendezvous_backend.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py to static_tcp_rendezvous.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/etcd_store.py to etcd_store.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py to dynamic_rendezvous.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/elastic/rendezvous/etcd_rendezvous.py to etcd_rendezvous.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_spmd/comm_tensor.py to comm_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_spmd/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tools/memory_tracker.py to memory_tracker.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_tools/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/pipe.py to pipe.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/microbatch.py to microbatch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/checkpoint.py to checkpoint.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/pipeline.py to pipeline.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/stream.py to stream.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/phony.py to phony.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/copy.py to copy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/dependency.py to dependency.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/batchnorm.py to batchnorm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/worker.py to worker.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/tracker.py to tracker.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/skippable.py to skippable.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/namespace.py to namespace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/portal.py to portal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/skip/layout.py to layout.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance/blockpartition.py to blockpartition.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/pipeline/sync/_balance/profile.py to profile.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/partial_tensor.py to partial_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/replicated_tensor.py to replicated_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharder.py to sharder.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/common_op_utils.py to common_op_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/metadata.py to metadata.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/op_registry_utils.py to op_registry_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/checkpoint/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/reshard.py to reshard.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/metadata.py to metadata.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/shard.py to shard.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/_common.py to _common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/init.py to init.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/matrix_ops.py to matrix_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/math_ops.py to math_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/binary_cmp.py to binary_cmp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/chunk.py to chunk.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/misc_ops.py to misc_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/tensor_ops.py to tensor_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_tensor/_ops/elementwise_ops.py to elementwise_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/_internals.py to _internals.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec.py to chunk_sharding_spec.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/_common.py to _common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding.py to embedding.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/matrix_ops.py to matrix_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/math_ops.py to math_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding_bag.py to embedding_bag.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/softmax.py to softmax.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/linear.py to linear.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_plan/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharding_plan/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_optim/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/_shard/sharded_optim/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/backend_registry.py to backend_registry.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/internal.py to internal.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/rref_proxy.py to rref_proxy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/options.py to options.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/functions.py to functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/api.py to api.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/server_process_global_profiler.py to server_process_global_profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/constants.py to constants.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_testing/faulty_agent_backend_registry.py to faulty_agent_backend_registry.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/distributed/rpc/_testing/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/fft/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/sparse.py to sparse.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/_sanitizer.py to _sanitizer.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/error.py to error.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/_utils.py to _utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/streams.py to streams.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/profiler.py to profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/nvtx.py to nvtx.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/memory.py to memory.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/jiterator.py to jiterator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/graphs.py to graphs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/comm.py to comm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/_memory_viz.py to _memory_viz.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/nccl.py to nccl.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/random.py to random.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp/grad_scaler.py to grad_scaler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cuda/amp/autocast_mode.py to autocast_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/logging.py to logging.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/types.py to types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/mutation_guard.py to mutation_guard.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/testing.py to testing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/test_minifier_common.py to test_minifier_common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/hooks.py to hooks.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/skipfiles.py to skipfiles.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/exc.py to exc.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/replay_record.py to replay_record.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/allowed_functions.py to allowed_functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/side_effects.py to side_effects.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/codegen.py to codegen.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/debug_utils.py to debug_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/symbolic_convert.py to symbolic_convert.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/output_graph.py to output_graph.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/test_case.py to test_case.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/resume_execution.py to resume_execution.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/profiler.py to profiler.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/config_utils.py to config_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/convert_frame.py to convert_frame.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/guards.py to guards.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/source.py to source.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/bytecode_analysis.py to bytecode_analysis.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/comptime.py to comptime.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/external_utils.py to external_utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/eval_frame.py to eval_frame.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/bytecode_transformation.py to bytecode_transformation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/distributed.py to distributed.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/torchxla.py to torchxla.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/cudagraphs.py to cudagraphs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/nvfuser.py to nvfuser.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/inductor.py to inductor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/tensorrt.py to tensorrt.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/registry.py to registry.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/common.py to common.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/onnxrt.py to onnxrt.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/debugging.py to debugging.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/ipex.py to ipex.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/backends/tvm.py to tvm.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/base.py to base.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/builtin.py to builtin.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/user_defined.py to user_defined.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/torch.py to torch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/builder.py to builder.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/constant.py to constant.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/lists.py to lists.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/functions.py to functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/nn_module.py to nn_module.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/misc.py to misc.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/tensor.py to tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_dynamo/variables/dicts.py to dicts.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/windows/windows.py to windows.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/signal/windows/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/amp/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/cpu/amp/autocast_mode.py to autocast_mode.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/nvfuser/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen_backend_stubs.py to gen_backend_stubs.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/utils.py to utils.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/native_function_generation.py to native_function_generation.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/context.py to context.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen_vmap_plumbing.py to gen_vmap_plumbing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen.py to gen.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/code_template.py to code_template.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/local.py to local.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/model.py to model.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen_executorch.py to gen_executorch.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen_lazy_tensor.py to gen_lazy_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/gen_functionalization_type.py to gen_functionalization_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build/selector.py to selector.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/selective_build/operator.py to operator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/lazy_ts_lowering.py to lazy_ts_lowering.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/ufunc.py to ufunc.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/native_functions.py to native_functions.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/register_dispatch_key.py to register_dispatch_key.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/dest/lazy_ir.py to lazy_ir.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/structured.py to structured.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/dispatcher.py to dispatcher.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/functionalization.py to functionalization.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/native.py to native.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/ufunc.py to ufunc.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/cpp.py to cpp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/autograd.py to autograd.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/unboxing.py to unboxing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/translate.py to translate.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/python.py to python.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/lazy.py to lazy.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/meta.py to meta.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types/types.py to types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types/types_base.py to types_base.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/api/types/signatures.py to signatures.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions/gen_mobile_upgraders_constant.py to gen_mobile_upgraders_constant.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/operator_versions/gen_mobile_upgraders.py to gen_mobile_upgraders.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime/gen_static_runtime_ops.py to gen_static_runtime_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime/generator.py to generator.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/static_runtime/config.py to config.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/et_cpp.py to et_cpp.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/unboxing.py to unboxing.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/custom_ops.py to custom_ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types/types.py to types.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torchgen/executorch/api/types/signatures.py to signatures.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/wrap_type.py to wrap_type.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/op_properties.py to op_properties.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/reference.py to reference.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/magic_trace.py to magic_trace.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/dim.py to dim.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/delayed_mul_tensor.py to delayed_mul_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/tree_map.py to tree_map.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/dim/batch_tensor.py to batch_tensor.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental/_map.py to _map.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental/_cond.py to _cond.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental/ops.py to ops.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/experimental/control_flow.py to control_flow.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/vmap/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/make_functional/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/aot_autograd/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_src/eager_transforms/__init__.py to __init__.cpython-310.pyc byte-compiling /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/compile/__init__.py to __init__.cpython-310.pyc running install_egg_info running egg_info creating torch.egg-info writing torch.egg-info/PKG-INFO writing dependency_links to torch.egg-info/dependency_links.txt writing entry points to torch.egg-info/entry_points.txt writing requirements to torch.egg-info/requires.txt writing top-level names to torch.egg-info/top_level.txt writing manifest file 'torch.egg-info/SOURCES.txt' reading manifest file 'torch.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no files found matching '.gitmodules' warning: no previously-included files matching '*.o' found anywhere in distribution warning: no previously-included files matching '*.dylib' found anywhere in distribution warning: no previously-included files matching '.git' found anywhere in distribution warning: no previously-included files matching '*.swp' found anywhere in distribution adding license file 'LICENSE' adding license file 'NOTICE' writing manifest file 'torch.egg-info/SOURCES.txt' Copying torch.egg-info to /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch-2.0.1-py3.10.egg-info running install_scripts Installing convert-caffe2-to-onnx script to /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/bin Installing convert-onnx-to-caffe2 script to /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/bin Installing torchrun script to /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/bin + chrpath -d /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libc10.so /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libc10_cuda.so /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libnvfuser_codegen.so /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libshm.so /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch.so /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch_cpu.so /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda.so /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch_global_deps.so /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/lib/libtorch_python.so + chrpath -d /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/bin/protoc /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0 /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/torch/bin/torch_shm_manager + chrpath -d /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/nvfuser/_C.cpython-310-x86_64-linux-gnu.so + chrpath -d /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64//usr/lib64/python3.10/site-packages/functorch/_C.cpython-310-x86_64-linux-gnu.so + mkdir -p /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/etc/ld.so.conf.d + echo /usr/lib64/python3.10/site-packages/torch/lib + /usr/bin/find-debuginfo -j80 -m -i --build-id-seed 2.0.1-3.an23 --unique-debug-suffix -2.0.1-3.an23.x86_64 --unique-debug-src-base pytorch-2.0.1-3.an23.x86_64 -S debugsourcefiles.list /builddir/build/BUILD/pytorch-v2.0.1 extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/functorch/_C.cpython-310-x86_64-linux-gnu.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/nvfuser/_C.cpython-310-x86_64-linux-gnu.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C.cpython-310-x86_64-linux-gnu.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/torch_shm_manager extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/_C_flatbuffer.cpython-310-x86_64-linux-gnu.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0 extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libc10.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libnvfuser_codegen.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libc10_cuda.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libshm.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_cpu.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_global_deps.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_python.so extracting debug info from /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. gdb-add-index: No index was created for /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch.so gdb-add-index: [Was there no debuginfo? Was there already an index?] Support for debuginfod is not compiled into GDB. gdb-add-index: No index was created for /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/lib/libtorch_global_deps.so gdb-add-index: [Was there no debuginfo? Was there already an index?] Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. Support for debuginfod is not compiled into GDB. 235129 blocks + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/anolis/brp-ldconfig + COMPRESS='zstd -f --rm -19 -T0' + COMPRESS_EXT=.zst + /usr/lib/rpm/brp-compress + /usr/lib/rpm/anolis/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/brp-remove-la-files + /usr/lib/rpm/anolis/clean_perl + /usr/lib/rpm/anolis/check_elf_files Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libc10_cuda.so: libm.so.6 Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libcaffe2_nvrtc.so: libm.so.6 libgcc_s.so.1 Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch_global_deps.so: libcufft.so.11 libcublas.so.12 libcublasLt.so.12 libcudart.so.12 libnvToolsExt.so.1 Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda_linalg.so: libtorch_cuda.so libc10_cuda.so libnvToolsExt.so.1 libc10.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libshm.so: libtorch_cpu.so libtorch_cuda.so libc10.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch_python.so: libtorch.so libtorch_cpu.so libtorch_cuda.so libc10_cuda.so libc10.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch_cpu.so: libnuma.so.1 Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch_cuda.so: libcurand.so.10 libc10.so libtorch_cpu.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libtorch.so: libtorch_cuda.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/torch/lib/libnvfuser_codegen.so: libtorch_cuda.so libnvrtc.so.12 libtorch_cpu.so libc10_cuda.so libc10.so Warning: unused libraries in /usr/lib64/python3.10/site-packages/nvfuser/_C.cpython-310-x86_64-linux-gnu.so: libtorch_python.so libtorch_cpu.so libc10.so 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PyDict_GetItemWithError PyErr_Format PyUnicode_AsUTF8AndSize PyTuple_Size + /usr/lib/rpm/anolis/brp-mangle-shebangs *** WARNING: ./usr/src/debug/pytorch-2.0.1-3.an23.x86_64/third_party/miniz-2.1.0/miniz.c is executable but has no shebang, removing executable bit *** WARNING: ./usr/src/debug/pytorch-2.0.1-3.an23.x86_64/third_party/miniz-2.1.0/miniz.h is executable but has no shebang, removing executable bit + /usr/lib/rpm/anolis/remove-info-dir + /usr/lib/rpm/anolis/check-desktop-files + /usr/lib/rpm/anolis/brp-python-bytecompile '' 1 0 Bytecompiling .py files below /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10 using python3.10 Bytecompiling .py files below /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib/debug/usr/lib64/python3.10 using python3.10 + /usr/lib/rpm/anolis/brp-python-hardlink Processing files: pytorch-2.0.1-3.an23.x86_64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.lwNrt0 + umask 022 + cd /builddir/build/BUILD + cd pytorch-v2.0.1 + DOCDIR=/builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/share/doc/pytorch + export LC_ALL=C + LC_ALL=C + export DOCDIR + /usr/bin/mkdir -p /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/share/doc/pytorch + cp -pr README.md /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/share/doc/pytorch + cp -pr CONTRIBUTING.md /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/share/doc/pytorch + RPM_EC=0 ++ jobs -p + exit 0 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.UOqkWJ + umask 022 + cd /builddir/build/BUILD + cd pytorch-v2.0.1 + LICENSEDIR=/builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/share/licenses/pytorch + export LC_ALL=C + LC_ALL=C + export LICENSEDIR + /usr/bin/mkdir -p /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/share/licenses/pytorch + cp -pr LICENSE /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/share/licenses/pytorch + RPM_EC=0 ++ jobs -p + exit 0 warning: Duplicate build-ids /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0 and /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc Provides: libc10.so()(64bit) libc10_cuda.so()(64bit) libcaffe2_nvrtc.so()(64bit) libnvfuser_codegen.so()(64bit) libshm.so()(64bit) libtorch.so()(64bit) libtorch_cpu.so()(64bit) libtorch_cuda.so()(64bit) libtorch_cuda_linalg.so()(64bit) libtorch_global_deps.so()(64bit) libtorch_python.so()(64bit) python3.10dist(torch) = 2.0.1 python3dist(torch) = 2.0.1 pytorch = 2.0.1-3.an23 pytorch(x86-64) = 2.0.1-3.an23 pytorch-python3 = 2.0.1-3.an23 Requires(rpmlib): rpmlib(BuiltinLuaScripts) <= 4.2.2-1 rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: /usr/bin/python3 ld-linux-x86-64.so.2()(64bit) ld-linux-x86-64.so.2(GLIBC_2.3)(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.10)(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.15)(64bit) libc.so.6(GLIBC_2.16)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.28)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.33)(64bit) libc.so.6(GLIBC_2.34)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_2.6)(64bit) libc.so.6(GLIBC_2.7)(64bit) libc.so.6(GLIBC_2.9)(64bit) libc10.so()(64bit) libc10_cuda.so()(64bit) libcublas.so.12()(64bit) libcublas.so.12(libcublas.so.12)(64bit) libcublasLt.so.12()(64bit) libcublasLt.so.12(libcublasLt.so.12)(64bit) libcuda.so.1()(64bit) libcudart.so.12()(64bit) libcudart.so.12(libcudart.so.12)(64bit) libcudnn.so.8()(64bit) libcudnn.so.8(libcudnn.so.8)(64bit) libcufft.so.11()(64bit) libcufft.so.11(libcufft.so.11)(64bit) libcupti.so.12()(64bit) libcupti.so.12(libcupti.so.12)(64bit) libcurand.so.10()(64bit) libcusolver.so.11()(64bit) libcusolver.so.11(libcusolver.so.11)(64bit) libcusparse.so.12()(64bit) libcusparse.so.12(libcusparse.so.12)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.35)(64bit) libmagma.so.1()(64bit) libnuma.so.1()(64bit) libnuma.so.1(libnuma_1.1)(64bit) libnuma.so.1(libnuma_1.2)(64bit) libnvToolsExt.so.1()(64bit) libnvToolsExt.so.1(libnvToolsExt.so.1)(64bit) libnvfuser_codegen.so()(64bit) libnvrtc.so.12()(64bit) libnvrtc.so.12(libnvrtc.so.12)(64bit) libpython3.10.so.1.0()(64bit) libshm.so()(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.11)(64bit) libstdc++.so.6(CXXABI_1.3.13)(64bit) libstdc++.so.6(CXXABI_1.3.2)(64bit) libstdc++.so.6(CXXABI_1.3.3)(64bit) libstdc++.so.6(CXXABI_1.3.5)(64bit) libstdc++.so.6(CXXABI_1.3.7)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.17)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.19)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.22)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.5)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) libtorch.so()(64bit) libtorch_cpu.so()(64bit) libtorch_cuda.so()(64bit) libtorch_python.so()(64bit) python(abi) = 3.10 python3.10dist(filelock) python3.10dist(jinja2) python3.10dist(networkx) python3.10dist(sympy) python3.10dist(typing-extensions) rtld(GNU_HASH) Obsoletes: pytorch-python3 < 2.0.1-3.an23 Processing files: pytorch-devel-2.0.1-3.an23.x86_64 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.8Orw4i + umask 022 + cd /builddir/build/BUILD + cd pytorch-v2.0.1 + LICENSEDIR=/builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/share/licenses/pytorch-devel + export LC_ALL=C + LC_ALL=C + export LICENSEDIR + /usr/bin/mkdir -p /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/share/licenses/pytorch-devel + cp -pr LICENSE /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/share/licenses/pytorch-devel + RPM_EC=0 ++ jobs -p + exit 0 Provides: pytorch-devel = 2.0.1-3.an23 pytorch-devel(x86-64) = 2.0.1-3.an23 Requires(rpmlib): rpmlib(BuiltinLuaScripts) <= 4.2.2-1 rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: pytorch-debugsource-2.0.1-3.an23.x86_64 Provides: pytorch-debugsource = 2.0.1-3.an23 pytorch-debugsource(x86-64) = 2.0.1-3.an23 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: pytorch-debuginfo-2.0.1-3.an23.x86_64 warning: Duplicate build-ids /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib/debug/usr/lib64/python3.10/site-packages/torch/bin/protoc-2.0.1-3.an23.x86_64.debug and /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib/debug/usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0-2.0.1-3.an23.x86_64.debug Provides: debuginfo(build-id) = 0a97f898b3042d38b92fe28b5e538b899d2f9e6a debuginfo(build-id) = 1270bffdfd5781b059664f02624b161dca430394 debuginfo(build-id) = 129b5d3ebac476b756a7ee7b811bab0cf2cf7cf7 debuginfo(build-id) = 1458265e44f2cd364641a04a663242454985f690 debuginfo(build-id) = 1ecc661485757f7e776f0b711b79a96a932bdd5b debuginfo(build-id) = 437fff0f7d615f04819a3eda1c65e0696c4f092e debuginfo(build-id) = 6eab022ebe74254485b58f292a0ea4c9940648ac debuginfo(build-id) = 720a30438e4dfe3ce437f319d31dfa361d393002 debuginfo(build-id) = 797c07ff3066860b7d58cfd6f08334b4743e6cbd debuginfo(build-id) = 7f978657197ce5f5a7bdfd93b2c631aadd10f9b7 debuginfo(build-id) = 8f852a960038fa35eafa3d5d3d37ade4a48ec487 debuginfo(build-id) = 922e144276039d3ba4b0aed13bda3deaad22a64f debuginfo(build-id) = 92beb6c40f059a421f64cabf78b7f9d657692d15 debuginfo(build-id) = a12b6a077c36e4ec051bced9a4aa4233965e291a debuginfo(build-id) = c874889aeb6d23c024e49f2b264cec7c90e95c62 debuginfo(build-id) = ca98a5aa992b3014d8b61ac1b89ee696872c3459 debuginfo(build-id) = e8c0ca3aa89ac666899ce4a1a55c013a23c07d41 debuginfo(build-id) = nilnil libc10.so-2.0.1-3.an23.x86_64.debug()(64bit) libc10_cuda.so-2.0.1-3.an23.x86_64.debug()(64bit) libcaffe2_nvrtc.so-2.0.1-3.an23.x86_64.debug()(64bit) libnvfuser_codegen.so-2.0.1-3.an23.x86_64.debug()(64bit) libshm.so-2.0.1-3.an23.x86_64.debug()(64bit) libtorch.so-2.0.1-3.an23.x86_64.debug()(64bit) libtorch_cpu.so-2.0.1-3.an23.x86_64.debug()(64bit) libtorch_cuda.so-2.0.1-3.an23.x86_64.debug()(64bit) libtorch_cuda_linalg.so-2.0.1-3.an23.x86_64.debug()(64bit) libtorch_global_deps.so-2.0.1-3.an23.x86_64.debug()(64bit) libtorch_python.so-2.0.1-3.an23.x86_64.debug()(64bit) pytorch-debuginfo = 2.0.1-3.an23 pytorch-debuginfo(x86-64) = 2.0.1-3.an23 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: pytorch-debugsource(x86-64) = 2.0.1-3.an23 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64 Wrote: /builddir/build/RPMS/pytorch-devel-2.0.1-3.an23.x86_64.rpm Wrote: /builddir/build/RPMS/pytorch-debugsource-2.0.1-3.an23.x86_64.rpm Wrote: /builddir/build/RPMS/pytorch-2.0.1-3.an23.x86_64.rpm Wrote: /builddir/build/RPMS/pytorch-debuginfo-2.0.1-3.an23.x86_64.rpm RPM build warnings: Duplicate build-ids /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0 and /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib64/python3.10/site-packages/torch/bin/protoc Duplicate build-ids /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib/debug/usr/lib64/python3.10/site-packages/torch/bin/protoc-2.0.1-3.an23.x86_64.debug and /builddir/build/BUILDROOT/pytorch-2.0.1-3.an23.x86_64/usr/lib/debug/usr/lib64/python3.10/site-packages/torch/bin/protoc-3.13.0.0-2.0.1-3.an23.x86_64.debug Child return code was: 0